The document proposes a system called ICCC (Information Correctness to Customers in Cloud Data Storage) that provides a proof of correctness to customers storing data in the cloud. This ensures the cloud storage provider has not modified the customer's data without approval. The system aims to verify correctness with minimal storage/computation at the client and cloud server sides and low bandwidth usage. It allows verification using only a small portion of the stored data file, independent of the file size. The ICCC proof could be included in service level agreements to assure customers of their data's integrity in the cloud.
iaetsd Controlling data deuplication in cloud storageIaetsd Iaetsd
This document discusses controlling data deduplication in cloud storage. It proposes an architecture that provides duplicate check procedures with minimal overhead compared to normal cloud storage operations. The key aspects of the proposed system are:
1) It uses convergent encryption to encrypt data for privacy while still allowing for deduplication of duplicate files.
2) It introduces a private cloud that manages user privileges and generates tokens for authorized duplicate checking in a hybrid cloud architecture.
3) It evaluates the overhead of the proposed authorized duplicate checking scheme and finds it incurs negligible overhead compared to normal cloud storage operations.
Enhanced Data Partitioning Technique for Improving Cloud Data Storage SecurityEditor IJMTER
Cloud computing is a model for enabling for on demand network access to shared
configurable computing resources (e.g. networks, servers, storage, applications, and services).It is
based on virtualization and distributed computing technologies. Cloud Data storage systems enable
user to store data efficiently on server without any trouble of data resources. User can easily store
and retrieve their data remotely. The two biggest concerns about cloud data storage are reliability and
security. Clients aren’t like to entrust their data to another third party or companies without a
guarantee that they will be able to access therein formations whenever they want. In the existing
system, the data are stored in the cloud using dynamic data operation with computation which makes
the user need to make a copy for further updating and verification of the data loss. Different
distributed storing auditing techniques are used for overcoming the problem of data loss. Recent
work of this paper has show that data partitioning technique used for data storage by providing
Digital signature to every partitioning data and user .this technique allow user to upload or retrieve
the data with matching the digital signatures provided to them. This method ensures high cloud
storage integrity, enhanced error localization and easy identification of misbehaving server and
unauthorized access to the cloud server. Hence this work aims to store the data securely in reduced
space with less time and computational cost.
A hybrid cloud approach for secure authorizedNinad Samel
This document summarizes a research paper that proposes a hybrid cloud approach for secure authorized data deduplication. The paper presents a scheme that uses convergent encryption to encrypt files before uploading them to cloud storage. It also considers the differential privileges of users when performing duplicate checks, in addition to file content. A prototype is implemented to test the proposed authorized duplicate check scheme. Experimental results show the scheme incurs minimal overhead compared to normal cloud storage operations. The goal is to better protect data security while supporting deduplication in a hybrid cloud architecture.
An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computingijtsrd
As the popularity of cloud computing is increasing, mobile devices at any time can store or retrieve personal information from anywhere. As a result, the issue of data protection in the mobile cloud is becoming increasingly severe and prevents more mobile cloud computing. There are important studies that have been carried out to strengthen the protection of the cloud. Most of them, however, are not applicable to mobile clouds, as mobile devices have restricted computing resources and power. In this paper, I propose a lightweight data sharing scheme LDSS for mobile cloud computing. It uses CP ABE Cipher text Policy Attribute Based Encryption , an access control technology used in basic cloud atmosphere, but changes the structure of access control tree to make it suitable for mobile cloud environments. LDSS moves a large portion of the computational rigorous access control tree transformation in CP ABE Cipher text Policy Attribute Based Encryption from mobile devices to external proxy servers. Also, to reduce the user revocation cost, it introduces attribute description fields to implement lazy revocation, which is a pointed issue in program based CP ABE Cipher text Policy Attribute Based Encryption systems. The trial results show that LDSS can effectively lower the overhead on the mobile device side when users are sharing information in mobile cloud environments. Abhishek. D | Dr. Lakshmi J. V. N "An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35909.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/35909/an-efficient-and-safe-data-sharing-scheme-for-mobile-cloud-computing/abhishek-d
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
1) The document proposes a scheme for ensuring data storage security in cloud computing using erasure coding and distributed verification of encoded data blocks across multiple servers.
2) The scheme achieves storage correctness insurance and can identify misbehaving servers if data corruption is detected.
3) It supports secure and efficient dynamic operations on data blocks like update, delete, and append, which many previous works did not consider.
Cloud Computing Using Encryption and Intrusion Detectionijsrd.com
Cloud computing provides many benefits to the users such as accessibility and availability. As the data is available over the cloud, it can be accessed by different users. There may be sensitive data of organization. This is the one issue to provide access to authenticated users only. But the data can be accessed by the owner of the cloud. So to avoid getting data being accessed by the cloud owner, we will use the intrusion detection system to provide security to the data. The other issue is to save the data backup in other cloud in encrypted form so that load balancing can be done. This will help the user with data availability in case of failure of one cloud.
Data Back-Up and Recovery Techniques for Cloud Server Using Seed Block AlgorithmIJERA Editor
In cloud computing, data generated in electronic form are large in amount. To maintain this data efficiently, there is a necessity of data recovery services. To cater this, we propose a smart remote data backup algorithm, Seed Block Algorithm. The objective of proposed algorithm is twofold; first it help the users to collect information from any remote location in the absence of network connectivity and second to recover the files in case of the file deletion or if the cloud gets destroyed due to any reason. The time related issues are also being solved by proposed seed block algorithm such that it will take minimum time for the recovery process. Proposed seed block algorithm also focuses on the security concept for the back-up files stored at remote server, without using any of the existing encryption techniques.
iaetsd Controlling data deuplication in cloud storageIaetsd Iaetsd
This document discusses controlling data deduplication in cloud storage. It proposes an architecture that provides duplicate check procedures with minimal overhead compared to normal cloud storage operations. The key aspects of the proposed system are:
1) It uses convergent encryption to encrypt data for privacy while still allowing for deduplication of duplicate files.
2) It introduces a private cloud that manages user privileges and generates tokens for authorized duplicate checking in a hybrid cloud architecture.
3) It evaluates the overhead of the proposed authorized duplicate checking scheme and finds it incurs negligible overhead compared to normal cloud storage operations.
Enhanced Data Partitioning Technique for Improving Cloud Data Storage SecurityEditor IJMTER
Cloud computing is a model for enabling for on demand network access to shared
configurable computing resources (e.g. networks, servers, storage, applications, and services).It is
based on virtualization and distributed computing technologies. Cloud Data storage systems enable
user to store data efficiently on server without any trouble of data resources. User can easily store
and retrieve their data remotely. The two biggest concerns about cloud data storage are reliability and
security. Clients aren’t like to entrust their data to another third party or companies without a
guarantee that they will be able to access therein formations whenever they want. In the existing
system, the data are stored in the cloud using dynamic data operation with computation which makes
the user need to make a copy for further updating and verification of the data loss. Different
distributed storing auditing techniques are used for overcoming the problem of data loss. Recent
work of this paper has show that data partitioning technique used for data storage by providing
Digital signature to every partitioning data and user .this technique allow user to upload or retrieve
the data with matching the digital signatures provided to them. This method ensures high cloud
storage integrity, enhanced error localization and easy identification of misbehaving server and
unauthorized access to the cloud server. Hence this work aims to store the data securely in reduced
space with less time and computational cost.
A hybrid cloud approach for secure authorizedNinad Samel
This document summarizes a research paper that proposes a hybrid cloud approach for secure authorized data deduplication. The paper presents a scheme that uses convergent encryption to encrypt files before uploading them to cloud storage. It also considers the differential privileges of users when performing duplicate checks, in addition to file content. A prototype is implemented to test the proposed authorized duplicate check scheme. Experimental results show the scheme incurs minimal overhead compared to normal cloud storage operations. The goal is to better protect data security while supporting deduplication in a hybrid cloud architecture.
An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computingijtsrd
As the popularity of cloud computing is increasing, mobile devices at any time can store or retrieve personal information from anywhere. As a result, the issue of data protection in the mobile cloud is becoming increasingly severe and prevents more mobile cloud computing. There are important studies that have been carried out to strengthen the protection of the cloud. Most of them, however, are not applicable to mobile clouds, as mobile devices have restricted computing resources and power. In this paper, I propose a lightweight data sharing scheme LDSS for mobile cloud computing. It uses CP ABE Cipher text Policy Attribute Based Encryption , an access control technology used in basic cloud atmosphere, but changes the structure of access control tree to make it suitable for mobile cloud environments. LDSS moves a large portion of the computational rigorous access control tree transformation in CP ABE Cipher text Policy Attribute Based Encryption from mobile devices to external proxy servers. Also, to reduce the user revocation cost, it introduces attribute description fields to implement lazy revocation, which is a pointed issue in program based CP ABE Cipher text Policy Attribute Based Encryption systems. The trial results show that LDSS can effectively lower the overhead on the mobile device side when users are sharing information in mobile cloud environments. Abhishek. D | Dr. Lakshmi J. V. N "An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35909.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/35909/an-efficient-and-safe-data-sharing-scheme-for-mobile-cloud-computing/abhishek-d
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
1) The document proposes a scheme for ensuring data storage security in cloud computing using erasure coding and distributed verification of encoded data blocks across multiple servers.
2) The scheme achieves storage correctness insurance and can identify misbehaving servers if data corruption is detected.
3) It supports secure and efficient dynamic operations on data blocks like update, delete, and append, which many previous works did not consider.
Cloud Computing Using Encryption and Intrusion Detectionijsrd.com
Cloud computing provides many benefits to the users such as accessibility and availability. As the data is available over the cloud, it can be accessed by different users. There may be sensitive data of organization. This is the one issue to provide access to authenticated users only. But the data can be accessed by the owner of the cloud. So to avoid getting data being accessed by the cloud owner, we will use the intrusion detection system to provide security to the data. The other issue is to save the data backup in other cloud in encrypted form so that load balancing can be done. This will help the user with data availability in case of failure of one cloud.
Data Back-Up and Recovery Techniques for Cloud Server Using Seed Block AlgorithmIJERA Editor
In cloud computing, data generated in electronic form are large in amount. To maintain this data efficiently, there is a necessity of data recovery services. To cater this, we propose a smart remote data backup algorithm, Seed Block Algorithm. The objective of proposed algorithm is twofold; first it help the users to collect information from any remote location in the absence of network connectivity and second to recover the files in case of the file deletion or if the cloud gets destroyed due to any reason. The time related issues are also being solved by proposed seed block algorithm such that it will take minimum time for the recovery process. Proposed seed block algorithm also focuses on the security concept for the back-up files stored at remote server, without using any of the existing encryption techniques.
A Study of Data Storage Security Issues in Cloud Computingvivatechijri
Cloudcomputingprovidesondemandservicestoitsclients.Datastorageisamongoneoftheprimaryservices providedbycloudcomputing.Cloudserviceproviderhoststhedataofdataownerontheirserverandusercan accesstheirdatafromtheseservers.Asdata,ownersandserversaredifferentidentities,theparadigmofdata storagebringsupmanysecuritychallenges.Anindependentmechanismisrequiredtomakesurethatdatais correctlyhostedintothecloudstorageserver.Inthispaper,wewilldiscussthedifferenttechniquesthatare usedforsecuredatastorageoncloud. Cloud computing is a functional paradigm that is evolving and making IT utilization easier by the day for consumers. Cloud computing offers standardized applications to users online and in a manner that can be accessed regularly. Such applications can be accessed by as many persons as permitted within an organization without bothering about the maintenance of such application. The Cloud also provides a channel to design and deploy user applications including its storage space and database without bothering about the underlying operating system. The application can run without consideration for on premise infrastructure. Also, the Cloud makes massive storage available both for data and databases. Storage of data on the Cloud is one of the core activities in Cloud computing. Storage utilizes infrastructure spread across several geographical locations.
Proposed Model for Enhancing Data Storage Security in Cloud Computing SystemsHossam Al-Ansary
This document proposes a model for enhancing data storage security in cloud computing systems. It discusses threats and attacks to cloud data storage from external and internal sources. It then describes three common cloud deployment models: public clouds, private clouds, and hybrid clouds. The document proposes that cloud systems should include cloud service providers, users, and third party auditors. It also outlines two types of potential adversaries (weak and strong). Finally, it proposes design goals for secure cloud data storage systems, including ensuring storage correctness, fast error localization, dynamic data support, dependability, and lightweight verification.
Unit 3 -Data storage and cloud computingMonishaNehkal
Data storage
Cloud storage
Cloud storage from LANs to WANs
Cloud computing services
Cloud computing at work
File system
Data management
Management services
an enhanced multi layered cryptosystem based secureIJAEMSJORNAL
As the cloud computing technology develops during the recent days, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, willing achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud. SecCloud introduces an auditing entity with maintenance of a Map Reduce cloud, which helps clients generate data tags before uploading still audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud is designed motivated individually fact that customers always must encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
This document summarizes recent research on security issues related to single cloud and multi-cloud storage models. It finds that relying on a single cloud service provider poses risks to data availability and integrity if the provider experiences an outage. Storing data across multiple cloud providers (a multi-cloud model) can help address these issues but may increase costs. The document surveys various techniques proposed in recent research to improve security, availability, and integrity in single and multi-cloud environments, such as homomorphic tokens, file division, and the Depsky model. It concludes that while single cloud has been more widely researched, multi-cloud is an important area of ongoing work to help overcome the security and cost challenges of cloud storage.
Excellent Manner of Using Secure way of data storage in cloud computingEditor IJMTER
The major challenging issue in Cloud computing is Security. Providing Security is big issue
towards protecting data from third person as well as in Internet. This mainly deals the Security how it is
provided. Various type of services are there to protect our data and Various Services are available in Cloud
Computing to Utilize effective manner as Software as a Service (SaaS), Platform as a Service (PaaS),
Hardware as a Service (HaaS). Cloud computing is the use of computing resources (hardware and
software) that are delivered as a service over Internet network. Cloud Computing moves the Application
software and databases to the large data centres, where the administration of the data and services may not
be fully trustworthy that is in third party here the party has to get certified and authorized. Since Cloud
Computing share distributed resources via network in the open environment thus it makes new security
risks towards the correctness of the data in cloud. I propose in this paper flexibility of data storage
mechanism in the distributed environment by using the homomorphism token generation. In the proposed
system, users need to allow auditing the cloud storage with lightweight communication. While using
Encryption and Decryption methods it is very burden for a single processor. Than the processing
Capabilities can we utilize from Cloud Computing.
Data Partitioning Technique In Cloud: A Survey On Limitation And BenefitsIJERA Editor
This document summarizes and reviews various data partitioning techniques used in cloud computing for privacy and security of data using third party auditors. It discusses techniques like Merkle Hash Tree, distributed storage integrity auditing, image-based authentication, proxy provable data possession, file distribution with token pre-computation, and horizontal and vertical data partitioning. The techniques aim to provide benefits like dynamic data authentication, efficient storage, and integrity testing while addressing limitations such as single points of failure, public validation risks, lack of support for data updates, and additional computation costs. The review analyzes the techniques to compare their limitations and benefits for achieving secure and trustworthy cloud data storage.
Public Key Encryption algorithms Enabling Efficiency Using SaaS in Cloud Comp...Editor IJMTER
The Most great challenging in Cloud computing is Security. Here Security plays key role
in this paper proposed concept mainly deals with security at the end user access. While coming to the
end user access that are connected through the public networks. Here the end user wants to access his
application or services protected by the unauthorized persons. In this area if we want to apply
encryption or decryption methods such as RSA, 3DES, MD5, Blow fish. Etc.,
Whereas we can utilize these services at the end user access in cloud computing. Here there is
problem of encryption and decryption of the messages, services and applications. They are is lot of
time to take encrypt as well as decrypt and more number of processing capabilities are needed to use
the mechanism. For that problem we are introducing to use of cloud computing in SaaS model. i.e.,
scalable is applicable in this area so whenever it requires we can utilize the SaaS model.
In Cloud computing use of computing resources (hardware and software) that are delivered as a
service over Internet network. In advance earlier there is problem of using key size in various
algorithm like 64 bit it take some long period to encrypt the data.
Survey on Division and Replication of Data in Cloud for Optimal Performance a...IJSRD
Outsourcing information to an outsider authoritative control, as is done in distributed computing, offers ascend to security concerns. The information trade off may happen because of assaults by different clients and hubs inside of the cloud. Hence, high efforts to establish safety are required to secure information inside of the cloud. On the other hand, the utilized security procedure should likewise consider the advancement of the information recovery time. In this paper, we propose Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that all in all methodologies the security and execution issues. In the DROPS procedure, we partition a record into sections, and reproduce the divided information over the cloud hubs. Each of the hubs stores just a itary part of a specific information record that guarantees that even in the event of a fruitful assault, no important data is uncovered to the assailant. Additionally, the hubs putting away the sections are isolated with certain separation by method for diagram T-shading to restrict an assailant of speculating the areas of the sections. Moreover, the DROPS procedure does not depend on the customary cryptographic procedures for the information security; in this way alleviating the arrangement of computationally costly approaches. We demonstrate that the likelihood to find and bargain the greater part of the hubs putting away the sections of a solitary record is to a great degree low. We likewise analyze the execution of the DROPS system with ten different plans. The more elevated amount of security with slight execution overhead was watched.
This document provides an overview of the Data Distribution Service (DDS) standard for publish-subscribe communication. It explains key DDS concepts like the global data space, domain participants, topics, and quality of service policies. DDS provides a fully distributed, interoperable architecture for real-time data sharing between publishers and subscribers in applications like building automation, manufacturing, and more. The tutorial uses an example of monitoring and controlling temperatures in a large building to illustrate how DDS works.
This document summarizes a research paper that proposes a system for privacy-preserving public auditing of cloud data storage. The system allows a third-party auditor (TPA) to verify the integrity of data stored with a cloud service provider on behalf of users, without learning anything about the actual data contents. The system uses a public key-based homomorphic linear authenticator technique that enables the TPA to perform audits without having access to the full data. This technique allows the TPA to efficiently audit multiple users' data simultaneously. The document describes the system components, methodology used involving key generation and auditing protocols, and concludes the proposed system provides security and performance guarantees for privacy-preserving public auditing of cloud data
Cloude computing notes for Rgpv 7th sem studentgdyadav
Historical development ,Vision of Cloud Computing, Characteristics of cloud computing as per NIST , Cloud computing reference model ,Cloud computing environments, Cloud services requirements, Cloud and dynamic infrastructure, Cloud Adoption and rudiments .Overview of cloud applications: ECG Analysis in the cloud, Protein structure prediction, Gene Expression Data Analysis ,Satellite Image Processing ,CRM and ERP ,Social networking .
Cloud Reference Model, Types of Clouds, Cloud Interoperability & Standards, Scalability and Fault Tolerance, Cloud Solutions: Cloud Ecosystem, Cloud Business Process Management, Cloud Service Management.
Cloud Offerings: Cloud Analytics, Testing Under Control, Virtual Desktop Infrastructure. Virtual LAN(VLAN) and Virtual SAN(VSAN) and their benefits .
A Study of A Method To Provide Minimized Bandwidth Consumption Using Regenera...IJERA Editor
Cloud storage systems to protect data from corruptions, redundant data to tolerate failures of storage and lost data should be repaired when storage fails. Regenerating codes provide fault tolerance by striping data across multiple servers, while using less repair traffic than traditional erasure codes during failure recovery. In previous research implemented practical Data Integrity Protection (DIP) scheme for regenerating-coding based cloud storage. Functional Minimum-Storage Regenerating (FMSR) codes and it construct FMSR-DIP codes, which allow clients to remotely verify the integrity of random subsets of long-term archival data under a multi server setting. The problem is to optimize bandwidth consumption when repairing multiple failures. The cooperative repair of multiple failures can help to further save bandwidth consumption when multiple failures are being repaired.
Improve HLA based Encryption Process using fixed Size Aggregate Key generationEditor IJMTER
Cloud computing is an innovative idea for IT industries which provides several services to
users. In cloud computing secure authentication and data integrity of data is a major challenge, due to
internal and external threats. For improvement in data security over cloud, various techniques are
used.MAC based authentication is one of them, which suffers from undesirable systematic demerits
which have bounded usage and not secure verification, which may pose additional online load to users,
in a public auditing setting. Reliable and secure auditing are also challenging in cloud. In Cloud auditing
existing audit systems are based on aggregate key HLA algorithm. This algorithm is based on variable
sizes, different aggregate key generation, which encounters with security issues at decryption level.
Current Scheme generates a high length of key decryption that encounters with problem of space
complexity. To overcome these issues, We can improve HLA algorithm by improve aggregate key
generation, based on fixed key size. This algorithm generates constant aggregate key which will
overcomes problem of sharing of keys, security issues and space complexity.
Privacy Preserving in Authentication Protocol for Shared Authority Based Clou...IRJET Journal
This document proposes a privacy-preserving authentication protocol for shared authority-based cloud computing. It discusses security and privacy issues with data sharing among users in cloud storage. The proposed protocol uses a shared authority-based privacy preservation authentication protocol (SecCloud) to address privacy and security concerns for cloud storage. It also uses SecCloud+ to remove data de-duplication. The protocol aims to provide scalability, integrity checking, secure de-duplication, and prevent shoulder surfing attacks during the authentication process in cloud computing.
Enhanced Integrity Preserving Homomorphic Scheme for Cloud StorageIRJET Journal
This document discusses enhancing integrity preservation for cloud storage using a homomorphic encryption scheme. It begins with an abstract that outlines using MD5 algorithm for integrity checks on fully homomorphic encrypted data. It then provides background on issues with privacy and integrity in cloud computing. The document reviews related work on cloud security and integrity verification. It discusses challenges with ensuring data integrity when stored remotely in the cloud and proposes using a homomorphic encryption scheme along with MD5 for integrity preservation of outsourced data in the cloud.
DDS on the Web: Quick Recipes for Real-Time Web ApplicationsAngelo Corsaro
The Web is nowadays inextricably intertwined with our lives and our systems. The ability for a system to interact with web-based applications is not anymore a feature — it is the thin line that separates démodé from contemporary!
DDS-based systems are not exception to this rule and as a consequence more and more people are trying bring DDS data to web applications. In a technology rich environment such as the web there is no lack of choice when it comes to selecting the set of tools and technologies to integrate DDS and Web applications. Options are Web Services, REST,
REST Frameworks such as CometD, Silverlight, WebSockets, DART, the Play! Framework etc.
To help shed light, give insight and factually show that the DDS/Web integration is indeed easily achievable, this presentation will first provide an overview of the Web technologies that are most suited for integrating Web- and DDS-applications, such as plain REST, CometD, WebSockets, Google Dart, and Play! Then it will demonstrate how the integration can be achieved with just a few lines of code by using the OpenSplice Gateway.
Secure Data Storage in Cloud Using Encryption and Steganographyiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document proposes a new approach called ASHA to secure the Address Resolution Protocol (ARP) from spoofing attacks. ARP is currently vulnerable because it exchanges IP and MAC addresses in plain text, allowing attackers to spoof addresses. ASHA would install an agent between the IP and MAC layers on each host. The agent would encrypt the IP/MAC addresses when they are exchanged in ARP requests and replies using public/private key cryptography. It would also maintain the ARP cache in static mode for added security. The approach aims to protect ARP without requiring changes to the operating system kernel or use of additional servers. Experimental results showed the ASHA-installed systems were protected from ARP spoofing attacks.
A Study of Data Storage Security Issues in Cloud Computingvivatechijri
Cloudcomputingprovidesondemandservicestoitsclients.Datastorageisamongoneoftheprimaryservices providedbycloudcomputing.Cloudserviceproviderhoststhedataofdataownerontheirserverandusercan accesstheirdatafromtheseservers.Asdata,ownersandserversaredifferentidentities,theparadigmofdata storagebringsupmanysecuritychallenges.Anindependentmechanismisrequiredtomakesurethatdatais correctlyhostedintothecloudstorageserver.Inthispaper,wewilldiscussthedifferenttechniquesthatare usedforsecuredatastorageoncloud. Cloud computing is a functional paradigm that is evolving and making IT utilization easier by the day for consumers. Cloud computing offers standardized applications to users online and in a manner that can be accessed regularly. Such applications can be accessed by as many persons as permitted within an organization without bothering about the maintenance of such application. The Cloud also provides a channel to design and deploy user applications including its storage space and database without bothering about the underlying operating system. The application can run without consideration for on premise infrastructure. Also, the Cloud makes massive storage available both for data and databases. Storage of data on the Cloud is one of the core activities in Cloud computing. Storage utilizes infrastructure spread across several geographical locations.
Proposed Model for Enhancing Data Storage Security in Cloud Computing SystemsHossam Al-Ansary
This document proposes a model for enhancing data storage security in cloud computing systems. It discusses threats and attacks to cloud data storage from external and internal sources. It then describes three common cloud deployment models: public clouds, private clouds, and hybrid clouds. The document proposes that cloud systems should include cloud service providers, users, and third party auditors. It also outlines two types of potential adversaries (weak and strong). Finally, it proposes design goals for secure cloud data storage systems, including ensuring storage correctness, fast error localization, dynamic data support, dependability, and lightweight verification.
Unit 3 -Data storage and cloud computingMonishaNehkal
Data storage
Cloud storage
Cloud storage from LANs to WANs
Cloud computing services
Cloud computing at work
File system
Data management
Management services
an enhanced multi layered cryptosystem based secureIJAEMSJORNAL
As the cloud computing technology develops during the recent days, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, willing achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud. SecCloud introduces an auditing entity with maintenance of a Map Reduce cloud, which helps clients generate data tags before uploading still audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud is designed motivated individually fact that customers always must encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
This document summarizes recent research on security issues related to single cloud and multi-cloud storage models. It finds that relying on a single cloud service provider poses risks to data availability and integrity if the provider experiences an outage. Storing data across multiple cloud providers (a multi-cloud model) can help address these issues but may increase costs. The document surveys various techniques proposed in recent research to improve security, availability, and integrity in single and multi-cloud environments, such as homomorphic tokens, file division, and the Depsky model. It concludes that while single cloud has been more widely researched, multi-cloud is an important area of ongoing work to help overcome the security and cost challenges of cloud storage.
Excellent Manner of Using Secure way of data storage in cloud computingEditor IJMTER
The major challenging issue in Cloud computing is Security. Providing Security is big issue
towards protecting data from third person as well as in Internet. This mainly deals the Security how it is
provided. Various type of services are there to protect our data and Various Services are available in Cloud
Computing to Utilize effective manner as Software as a Service (SaaS), Platform as a Service (PaaS),
Hardware as a Service (HaaS). Cloud computing is the use of computing resources (hardware and
software) that are delivered as a service over Internet network. Cloud Computing moves the Application
software and databases to the large data centres, where the administration of the data and services may not
be fully trustworthy that is in third party here the party has to get certified and authorized. Since Cloud
Computing share distributed resources via network in the open environment thus it makes new security
risks towards the correctness of the data in cloud. I propose in this paper flexibility of data storage
mechanism in the distributed environment by using the homomorphism token generation. In the proposed
system, users need to allow auditing the cloud storage with lightweight communication. While using
Encryption and Decryption methods it is very burden for a single processor. Than the processing
Capabilities can we utilize from Cloud Computing.
Data Partitioning Technique In Cloud: A Survey On Limitation And BenefitsIJERA Editor
This document summarizes and reviews various data partitioning techniques used in cloud computing for privacy and security of data using third party auditors. It discusses techniques like Merkle Hash Tree, distributed storage integrity auditing, image-based authentication, proxy provable data possession, file distribution with token pre-computation, and horizontal and vertical data partitioning. The techniques aim to provide benefits like dynamic data authentication, efficient storage, and integrity testing while addressing limitations such as single points of failure, public validation risks, lack of support for data updates, and additional computation costs. The review analyzes the techniques to compare their limitations and benefits for achieving secure and trustworthy cloud data storage.
Public Key Encryption algorithms Enabling Efficiency Using SaaS in Cloud Comp...Editor IJMTER
The Most great challenging in Cloud computing is Security. Here Security plays key role
in this paper proposed concept mainly deals with security at the end user access. While coming to the
end user access that are connected through the public networks. Here the end user wants to access his
application or services protected by the unauthorized persons. In this area if we want to apply
encryption or decryption methods such as RSA, 3DES, MD5, Blow fish. Etc.,
Whereas we can utilize these services at the end user access in cloud computing. Here there is
problem of encryption and decryption of the messages, services and applications. They are is lot of
time to take encrypt as well as decrypt and more number of processing capabilities are needed to use
the mechanism. For that problem we are introducing to use of cloud computing in SaaS model. i.e.,
scalable is applicable in this area so whenever it requires we can utilize the SaaS model.
In Cloud computing use of computing resources (hardware and software) that are delivered as a
service over Internet network. In advance earlier there is problem of using key size in various
algorithm like 64 bit it take some long period to encrypt the data.
Survey on Division and Replication of Data in Cloud for Optimal Performance a...IJSRD
Outsourcing information to an outsider authoritative control, as is done in distributed computing, offers ascend to security concerns. The information trade off may happen because of assaults by different clients and hubs inside of the cloud. Hence, high efforts to establish safety are required to secure information inside of the cloud. On the other hand, the utilized security procedure should likewise consider the advancement of the information recovery time. In this paper, we propose Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that all in all methodologies the security and execution issues. In the DROPS procedure, we partition a record into sections, and reproduce the divided information over the cloud hubs. Each of the hubs stores just a itary part of a specific information record that guarantees that even in the event of a fruitful assault, no important data is uncovered to the assailant. Additionally, the hubs putting away the sections are isolated with certain separation by method for diagram T-shading to restrict an assailant of speculating the areas of the sections. Moreover, the DROPS procedure does not depend on the customary cryptographic procedures for the information security; in this way alleviating the arrangement of computationally costly approaches. We demonstrate that the likelihood to find and bargain the greater part of the hubs putting away the sections of a solitary record is to a great degree low. We likewise analyze the execution of the DROPS system with ten different plans. The more elevated amount of security with slight execution overhead was watched.
This document provides an overview of the Data Distribution Service (DDS) standard for publish-subscribe communication. It explains key DDS concepts like the global data space, domain participants, topics, and quality of service policies. DDS provides a fully distributed, interoperable architecture for real-time data sharing between publishers and subscribers in applications like building automation, manufacturing, and more. The tutorial uses an example of monitoring and controlling temperatures in a large building to illustrate how DDS works.
This document summarizes a research paper that proposes a system for privacy-preserving public auditing of cloud data storage. The system allows a third-party auditor (TPA) to verify the integrity of data stored with a cloud service provider on behalf of users, without learning anything about the actual data contents. The system uses a public key-based homomorphic linear authenticator technique that enables the TPA to perform audits without having access to the full data. This technique allows the TPA to efficiently audit multiple users' data simultaneously. The document describes the system components, methodology used involving key generation and auditing protocols, and concludes the proposed system provides security and performance guarantees for privacy-preserving public auditing of cloud data
Cloude computing notes for Rgpv 7th sem studentgdyadav
Historical development ,Vision of Cloud Computing, Characteristics of cloud computing as per NIST , Cloud computing reference model ,Cloud computing environments, Cloud services requirements, Cloud and dynamic infrastructure, Cloud Adoption and rudiments .Overview of cloud applications: ECG Analysis in the cloud, Protein structure prediction, Gene Expression Data Analysis ,Satellite Image Processing ,CRM and ERP ,Social networking .
Cloud Reference Model, Types of Clouds, Cloud Interoperability & Standards, Scalability and Fault Tolerance, Cloud Solutions: Cloud Ecosystem, Cloud Business Process Management, Cloud Service Management.
Cloud Offerings: Cloud Analytics, Testing Under Control, Virtual Desktop Infrastructure. Virtual LAN(VLAN) and Virtual SAN(VSAN) and their benefits .
A Study of A Method To Provide Minimized Bandwidth Consumption Using Regenera...IJERA Editor
Cloud storage systems to protect data from corruptions, redundant data to tolerate failures of storage and lost data should be repaired when storage fails. Regenerating codes provide fault tolerance by striping data across multiple servers, while using less repair traffic than traditional erasure codes during failure recovery. In previous research implemented practical Data Integrity Protection (DIP) scheme for regenerating-coding based cloud storage. Functional Minimum-Storage Regenerating (FMSR) codes and it construct FMSR-DIP codes, which allow clients to remotely verify the integrity of random subsets of long-term archival data under a multi server setting. The problem is to optimize bandwidth consumption when repairing multiple failures. The cooperative repair of multiple failures can help to further save bandwidth consumption when multiple failures are being repaired.
Improve HLA based Encryption Process using fixed Size Aggregate Key generationEditor IJMTER
Cloud computing is an innovative idea for IT industries which provides several services to
users. In cloud computing secure authentication and data integrity of data is a major challenge, due to
internal and external threats. For improvement in data security over cloud, various techniques are
used.MAC based authentication is one of them, which suffers from undesirable systematic demerits
which have bounded usage and not secure verification, which may pose additional online load to users,
in a public auditing setting. Reliable and secure auditing are also challenging in cloud. In Cloud auditing
existing audit systems are based on aggregate key HLA algorithm. This algorithm is based on variable
sizes, different aggregate key generation, which encounters with security issues at decryption level.
Current Scheme generates a high length of key decryption that encounters with problem of space
complexity. To overcome these issues, We can improve HLA algorithm by improve aggregate key
generation, based on fixed key size. This algorithm generates constant aggregate key which will
overcomes problem of sharing of keys, security issues and space complexity.
Privacy Preserving in Authentication Protocol for Shared Authority Based Clou...IRJET Journal
This document proposes a privacy-preserving authentication protocol for shared authority-based cloud computing. It discusses security and privacy issues with data sharing among users in cloud storage. The proposed protocol uses a shared authority-based privacy preservation authentication protocol (SecCloud) to address privacy and security concerns for cloud storage. It also uses SecCloud+ to remove data de-duplication. The protocol aims to provide scalability, integrity checking, secure de-duplication, and prevent shoulder surfing attacks during the authentication process in cloud computing.
Enhanced Integrity Preserving Homomorphic Scheme for Cloud StorageIRJET Journal
This document discusses enhancing integrity preservation for cloud storage using a homomorphic encryption scheme. It begins with an abstract that outlines using MD5 algorithm for integrity checks on fully homomorphic encrypted data. It then provides background on issues with privacy and integrity in cloud computing. The document reviews related work on cloud security and integrity verification. It discusses challenges with ensuring data integrity when stored remotely in the cloud and proposes using a homomorphic encryption scheme along with MD5 for integrity preservation of outsourced data in the cloud.
DDS on the Web: Quick Recipes for Real-Time Web ApplicationsAngelo Corsaro
The Web is nowadays inextricably intertwined with our lives and our systems. The ability for a system to interact with web-based applications is not anymore a feature — it is the thin line that separates démodé from contemporary!
DDS-based systems are not exception to this rule and as a consequence more and more people are trying bring DDS data to web applications. In a technology rich environment such as the web there is no lack of choice when it comes to selecting the set of tools and technologies to integrate DDS and Web applications. Options are Web Services, REST,
REST Frameworks such as CometD, Silverlight, WebSockets, DART, the Play! Framework etc.
To help shed light, give insight and factually show that the DDS/Web integration is indeed easily achievable, this presentation will first provide an overview of the Web technologies that are most suited for integrating Web- and DDS-applications, such as plain REST, CometD, WebSockets, Google Dart, and Play! Then it will demonstrate how the integration can be achieved with just a few lines of code by using the OpenSplice Gateway.
Secure Data Storage in Cloud Using Encryption and Steganographyiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document proposes a new approach called ASHA to secure the Address Resolution Protocol (ARP) from spoofing attacks. ARP is currently vulnerable because it exchanges IP and MAC addresses in plain text, allowing attackers to spoof addresses. ASHA would install an agent between the IP and MAC layers on each host. The agent would encrypt the IP/MAC addresses when they are exchanged in ARP requests and replies using public/private key cryptography. It would also maintain the ARP cache in static mode for added security. The approach aims to protect ARP without requiring changes to the operating system kernel or use of additional servers. Experimental results showed the ASHA-installed systems were protected from ARP spoofing attacks.
1) The document discusses VLSI architecture and implementation for 3D neural network based image compression. It proposes developing new hardware architectures optimized for area, power, and speed for implementing 3D neural networks for image compression.
2) A block diagram is presented showing the overall process of image acquisition, preprocessing, compression using a 3D neural network, and encoding for transmission.
3) The proposed 3D neural network architecture uses multiple hidden layers with lower dimensions than the input and output layers to perform compression and decompression. The network is trained using backpropagation.
This document proposes a new type of CAPTCHA called an image arrangement CAPTCHA that uses rearranged image pixels from photographs. It discusses how existing text-based CAPTCHAs can be solved by computers but image recognition remains difficult. The proposed CAPTCHA randomly rearranges pixels from an image into a grid that users must rearrange correctly. Experimental results showed humans could easily solve rearranged image puzzles. The document discusses improving security, accumulating image sources, and addressing usability concerns like response time. It argues image CAPTCHAs could be both secure against computers and entertaining for humans.
This document summarizes a research paper that proposes a rule-based technique using fuzzy logic to detect security attacks in wireless sensor networks. The technique develops a fuzzy rule-based system to calculate the impact of 10 common security attacks on wireless sensor networks. A GUI tool is created in MATLAB to test the system using a mouse dataset. Membership functions are used to represent fuzzy sets for analyzing the level of risk that security attacks pose, from very low to very high. The system provides a way to visualize security attacks and their influence on wireless sensor networks.
The document discusses wireless sensor networks and outlines their key components, uses for data aggregation to minimize data and conserve energy, and some common security issues they face like limited resources, memory, and power consumption. It also provides examples of applications for wireless sensor networks such as in military operations, healthcare monitoring, and environmental sensing. The future scope discusses connecting all devices to the internet and accessing real-world information. It concludes that data aggregation can help reduce energy loss during data processing on sensor nodes.
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This document presents a new approach for database intrusion detection that takes into account the sensitivity of database attributes. The approach assigns weights to attributes based on their sensitivity and generates read and write rules for highly sensitive attributes. Transactions are checked against these rules, and any that do not comply are flagged as malicious. The methodology involves generating frequent patterns from sensitive attributes, checking for write operations, and applying the generated read and write rules. The system was tested on a bank database and produced reports to identify malicious transactions in an audit log file. This dynamic, rule-based approach aims to more accurately detect intrusions by focusing on modifications to important database attributes.
Where are the Internet Opportunities in Ukraine?Ken Leaver
This document discusses opportunities in Ukraine's internet market and provides recommendations for starting an internet business there. It outlines several global technology trends like the rise of mobile devices and social networks. It then analyzes opportunities in various industries like e-commerce, marketplaces, travel, mobile apps, SaaS, education, and financial services. For each industry, it describes the competitive landscape and recommends specific business models to consider that have proven successful elsewhere, such as online travel agencies, last-minute hotel booking apps, peer-to-peer lending platforms, and online education content licensing. The document concludes by promoting Eastlabs, a startup accelerator in Kiev that provides seed funding, mentorship, and resources to help entrepreneurs launch new internet companies in
The document discusses proper punctuation and grammar corrections for several sentences and paragraphs. It provides examples of correcting sentences by adding punctuation marks like periods and commas in the right places. It also provides an example of linking sentences together using the word "because" and maintaining the original order of the sentences. Finally, it gives a paragraph example and punctuates it with capitalization, commas and periods.
The document proposes modifications to the AODV routing protocol to prevent denial of service attacks in mobile ad hoc networks. It describes how a malicious node can currently overload the network by flooding route requests. The proposed scheme limits the number of route requests a node can accept or forward to prevent this attack. It also blacklists nodes that exceed the route request limit to isolate misbehaving nodes. Simulations show the proposed approach reduces packet loss compared to the standard AODV protocol when under a denial of service attack.
1) The document proposes a method for color image enhancement using Laplacian pyramid decomposition and histogram equalization. It separates an input image into red, green, and blue color channels.
2) Each color channel is decomposed into a Laplacian pyramid, and histogram equalization is applied to enhance the contrast in each band-pass image.
3) The enhanced band-pass images are then recombined using the Laplacian pyramid reconstruction equation to produce enhanced color channels, which are combined to generate the output enhanced color image. The method aims to improve both local and global contrast while maintaining natural image quality.
El documento describe los diferentes tipos de mercado según el número de oferentes y demandantes, incluyendo la competencia perfecta con muchos oferentes y demandantes y productos homogéneos, el monopolio con un solo oferente, y el oligopolio dominado por unos pocos oferentes. También menciona la teoría de juegos para analizar las estrategias de las empresas rivales y lista los países de la OPEP y la definición de los trusts.
1. The document presents a failure recovery scheme for mobile computing systems based on checkpointing and handoff count. It proposes taking checkpoints when the handoff count exceeds a threshold or the distance between mobile support stations exceeds a threshold.
2. Upon failure, recovery information is collected from the mobile support stations where checkpoints are stored. The number of support stations and distance between them affects recovery time and cost.
3. The proposed scheme aims to optimize failure recovery by limiting the number of support stations and distance based on handoff count thresholds. Checkpoints are initiated to minimize scattered recovery information across multiple distant support stations.
1) A PID controller was designed using ISE, IAE, ITAE and MSE error criteria for a stable linear time invariant continuous system. A bacterial foraging particle swarm optimization (BF-PSO) technique was used to tune the PID controller gains (Kp, Ki, Kd) to meet performance specifications.
2) The PID controller was applied to the system using each error criteria and the closed-loop responses were observed and compared. For the IAE criteria, the system had 0% overshoot and undershoot with a settling time of 7.2172e-006 seconds and rise time of 4.0551e-006 seconds.
3) The BF-PSO algorithm combines
This document summarizes a research paper on solving three-dimensional bin packing problems using an elitism-based genetic algorithm. The paper addresses the bin packing problem, which involves packing objects of different volumes into bins to minimize the number of bins used. Previous work focused on one and two-dimensional cases. The paper presents a genetic algorithm approach to solve the three-dimensional bin packing problem. The algorithm uses a probability vector to model population distribution and elitism to guide the search toward optimal solutions.
This document discusses different channel allocation schemes that can be used in wireless mesh networks to improve performance and reduce interference between nodes. It categorizes the schemes as static, dynamic, or hybrid. Static schemes permanently or semi-permanently assign channels. Dynamic schemes allow channel switching. Hybrid schemes use static allocation for some interfaces and dynamic for others. The document simulates different ratios of static to dynamic channels and finds that allocating an equal number to each performs best, balancing connectivity and flexibility. It concludes that a purely dynamic scheme with no division may further optimize performance.
The document discusses using machine learning algorithms like Random Forest and k-Nearest Neighbors for intrusion detection. It analyzes the KDD Cup 1999 intrusion detection dataset to classify network traffic as normal or different types of attacks. The proposed model uses Random Forest for feature selection and k-Nearest Neighbors for classification to more accurately detect known and unknown attacks. Experimental results show the combined approach achieves better detection rates than other algorithms alone, especially for novel attacks not present in training data. Further combining the algorithms into a two-stage process may yield even higher accuracy.
Enabling Integrity for the Compressed Files in Cloud ServerIOSR Journals
This document proposes a scheme for enabling data integrity for compressed files stored in cloud servers. The scheme encrypts some bits of data from each data block using an RSA algorithm and polynomial hashing to generate hash values. These hash values are stored at the client and used to verify integrity by checking responses from the cloud server against the stored hashes. The scheme aims to minimize computational and storage overhead for clients by compressing files, encrypting only some data bits, and requiring clients to store just two secret functions rather than the full data. This allows integrity checks with low bandwidth consumption suitable for thin clients like mobile devices.
Cloud computing provides a cost-effective solution for data storage by moving user data to large, remote data centers. However, this presents new security challenges as users no longer have control over the physical location of their data. The document proposes a scheme for users to verify the integrity of their data stored in the cloud. This proof of integrity could be agreed upon by cloud providers and users as part of the Service Level Agreement. The scheme allows users to check that their data in the cloud remains unchanged or has not been illegally modified or deleted.
A Novel Method of Directly Auditing Integrity On Encrypted DataIRJET Journal
The document proposes two systems, SecCloud and SecCloud+, to achieve both data integrity and deduplication on cloud data. SecCloud introduces an auditing entity that helps clients generate data tags before uploading and audit data integrity stored in the cloud, enabling secure deduplication. SecCloud+ allows integrity auditing and deduplication directly on encrypted data by involving a key server to assign encryption keys based on file content. Both systems use the same three protocols for file uploading, integrity auditing, and proof of ownership with SecCloud+ adding communication between the client and key server to encrypt files before uploading. The systems aim to reduce user computation during uploading and auditing while allowing integrity checks and deduplication on encrypted data in the
Periodic Auditing of Data in Cloud Using Random BitsIJTET Journal
This document summarizes a research paper that proposes a scheme for periodically auditing data integrity in cloud storage using random bits. It introduces a proof of retrievability (POR) scheme to ensure data integrity based on service level agreements. The scheme uses probabilistic queries and periodic verification to improve the performance of audit services. It presents an architecture involving a client that pre-processes data before storing it, and a verification protocol to check integrity without retrieving the full data. The scheme aims to reduce overhead on clients and servers while minimizing proof sizes.
SecCloudPro: A Novel Secure Cloud Storage System for Auditing and DeduplicationIJCERT
In this paper, we show the trustworthiness evaluating and secure deduplication over cloud data utilizing imaginative secure frameworks .Usually cloud framework outsourced information at cloud storage is semi-trusted because of absence of security at cloud storage while putting away or sharing at cloud level because of weak cryptosystem information may be uncover or adjusted by the hackers keeping in mind the end goal to ensure clients information protection and security We propose novel progressed secure framework i.e SecCloudPro which empower the cloud framework secured and legitimate utilizing Verifier(TPA) benefit of Cloud Server. Additionally our framework performs data deduplication in a Secured way in requested to enhance the cloud Storage space too data transfer capacity i.e bandwidth.
Survey on securing outsourced storages in cloudeSAT Journals
Abstract Cloud computing is one of the buzzwords of technological developments in the IT industry and service sectors. Widening the social capabilities of servicing for a user on the internet while narrowing the insufficiency to store information and provide facilities locally, computing interests are shifting towards cloud services. Cloud services although contributes to major advantages for servicing also incurs notification to major security issues. The issues and the approaches that can be taken to minimise or even eliminate their effects are discussed in this paper to progress toward more secure storage services on the cloud. Keywords: Cloud computing, Cloud Security, Outsourced Storages, Storage as a Service
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces database and application software to the large data centres, where the management of services and data may not be predictable, where as the conventional solutions, for IT services are under proper logical, physical and personal controls. This aspect attribute, however comprises different security challenges which have not been well understood. It concentrates on cloud data storage security which has always been an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent features. Homomorphic token is used for distributed verification of erasure – coded data. By using this scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centres, where the data management and services may not be absolutely truthful. This effective security and performance analysis describes that the proposed scheme is extremely flexible against malicious data modification, convoluted failures and server clouding attacks.
DISTRIBUTED SCHEME TO AUTHENTICATE DATA STORAGE SECURITY IN CLOUD COMPUTINGijcsit
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces
database and application software to the large data centres, where the management of services and data
may not be predictable, where as the conventional solutions, for IT services are under proper logical,
physical and personal controls. This aspect attribute, however comprises different security challenges
which have not been well understood. It concentrates on cloud data storage security which has always been
an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and
efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent
features. Homomorphic token is used for distributed verification of erasure – coded data. By using this
scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and
secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to
traditional solutions, where the IT services are under proper physical, logical and personnel controls,
cloud computing moves the application software and databases to the large data centres, where the data
management and services may not be absolutely truthful. This effective security and performance analysis
describes that the proposed scheme is extremely flexible against malicious data modification, convoluted
failures and server clouding attacks.
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces database and application software to the large data centres, where the management of services and data may not be predictable, where as the conventional solutions, for IT services are under proper logical, physical and personal controls. This aspect attribute, however comprises different security challenges which have not been well understood. It concentrates on cloud data storage security which has always been an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent features. Homomorphic token is used for distributed verification of erasure – coded data. By using this scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centres, where the data management and services may not be absolutely truthful. This effective security and performance analysis describes that the proposed scheme is extremely flexible against malicious data modification, convoluted failures and server clouding attacks.
This document summarizes research on personality-based distributed provable data ownership in multi-cloud storage. It discusses how current provable data possession protocols have limitations such as authentication overhead and lack of flexibility. The proposed approach eliminates authentication management by using identity-based cryptography. It aims to provide a secure, efficient and adaptable protocol for integrity checking of outsourced data across multiple cloud servers.
Crypto multi tenant an environment of secure computing using cloud sqlijdpsjournal
Today’s most modern research area of computing is cloud comput
ing due to its ability to diminish the costs
associated with virtualization, high availability, dynamic resource pools and increases the efficien
cy of
computing. But still it contains some drawbacks such as privacy, security, etc. This paper is thorou
ghly
focused on the security of data of multi tenant model obtains from the virtualization feature of clo
ud
computing. We use AES
-
128 bit algorithm and cloud SQL to protect sensitive data before storing in the
cloud. When the authorized customer arises for usag
e of data, then data firstly decrypted after that
provides to the customer. Multi tenant infrastructure is supported by Google, which prefers pushing
of
contents in short iteration cycle. As the customer is distributed and their demands can arise anywhe
re,
anytime so data can’t store at particular site it must be available different sites also. For this f
aster
accessing by different users from different places Google is the best one. To get high reliability a
nd
availability data is stored in encrypted befor
e storing in database and updated every time after usage. It is
very easy to use without requiring any software. This authenticate user can recover their encrypted
and
decrypted data, afford efficient and data storage security in the cloud.
Cloud storage moves user data to remote data centers that users do not control, posing new security challenges. The document proposes a scheme using hash-based message authentication codes and RSA signatures to allow users to verify the integrity of their cloud data, addressing problems of data integrity and security. It aims to reduce costs for clients with limited resources to check data integrity in the cloud.
Dynamic Resource Allocation and Data Security for CloudAM Publications
Cloud computing is the next generation of IT organization. Cloud computing moves the software and
databases to the large centres where the management of services and data may not be fully trusted. In this system, we
focus on cloud data storage security, which has been an important aspect of quality of services. To ensure the
correctness of user’s data in the cloud, we propose an effective scheme with Advanced Encryption Standard and MD5
algorithm. Extensive security and performance analysis shows that the proposed scheme is highly efficient. In
proposed work we have developed efficient parallel data processing in clouds and present our research project for
parallel security. Parallel security is the data processing framework to explicitly exploit the dynamic storage along with
data security. We have proposed a strong, formal model for data security on cloud and corruption detection.
Privacy and Integrity Preserving in Cloud Storage DevicesIOSR Journals
This document proposes a method for providing privacy, integrity, and storage space management for files stored in the cloud. It aims to address confidentiality issues by encrypting files before uploading. To manage storage space, it arranges files in a complete binary tree based on size. File integrity is checked by a third party auditor comparing hash values of files stored in the cloud with those generated by the client. The method aims to provide confidentiality, integrity checking, and efficient use of storage space for cloud computing.
This document presents a Cooperative Provable Data Possession (CPDP) scheme to ensure data integrity in a multicloud storage system. The CPDP scheme uses a trusted third party to generate secret keys, verification tags for data blocks, and store public parameters. It allows a client to issue challenges to verify the integrity of its data stored across multiple cloud service providers. The verification process involves the cloud providers proving possession of the original data file without retrieving the whole file. This scheme aims to efficiently verify data integrity in a multicloud system with support for data migration and scalability.
PROVABLE DATA PROCESSING (PDP) A MODEL FOR CLIENT'S SECURED DATA ON CLOUDJournal For Research
In the present scenario Cloud computing has turn out to be a vital mechanism in the field of computers. In this fast generation, cloud computing has swiftly extended as an substitute to conservative computing subsequently it can offer a flexible, dynamic, robust and cost effective structure. Data integrity is a significant measures in cloud storage. Storage outsourcing is a growing tendency which prompts a number of exciting security concerns, numerous of which have been widely inspected. Provable Data Possession (PDP) is the only the area that has recently seemed in the research literature. The chief concern is how frequently, efficiently as well as securely authenticate that a storage server is genuinely packing outsourced client’s data. The objective is to present a model for PDP that permits a client to store data on untrusted server to authenticate that the server holds the unique data without regaining it. The client reserves a constant quantity of metadata for the proof authentication. The challenge or response protocol connects a small amount of constant data, which reduces network communication. Accordingly, the PDP model for isolated data analysis supports prodigious data sets in extensively distributed storage systems.
THE SURVEY ON REFERENCE MODEL FOR OPEN STORAGE SYSTEMS INTERCONNECTION MASS S...IRJET Journal
This document summarizes a research paper on a reference model for open storage systems interconnection with mass storage using key-aggregate cryptosystem. The paper proposes a key-aggregate cryptosystem framework to efficiently and securely share encrypted data across distributed storage. This allows data owners to assign access privileges to other users without increasing key sizes. The framework aggregates multiple secret keys into a single key of the same size. It reduces costs and complexity compared to traditional approaches requiring transmission of individual decryption keys. The proposed model aims to enable practical, secure and adaptable information sharing for distributed storage applications.
Secure Auditing and Deduplicating Data in Cloud1crore projects
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Encryption Technique for a Trusted Cloud Computing EnvironmentIOSR Journals
This document discusses encryption techniques for securing data in cloud computing environments. It begins with an introduction to cloud deployment models (public, private, hybrid, community) and service models (IaaS, PaaS, SaaS). It then addresses security concerns with cloud computing including data theft, incomplete data uploads, and lack of notification about infrastructure changes. The document proposes encrypting data before uploading it to cloud servers using algorithms like AES to protect data even if stolen. It reviews older encryption techniques like the Caesar cipher and argues stronger algorithms are needed for cloud security.
Electrically small antennas: The art of miniaturizationEditor IJARCET
We are living in the technological era, were we preferred to have the portable devices rather than unmovable devices. We are isolating our self rom the wires and we are becoming the habitual of wireless world what makes the device portable? I guess physical dimensions (mechanical) of that particular device, but along with this the electrical dimension is of the device is also of great importance. Reducing the physical dimension of the antenna would result in the small antenna but not electrically small antenna. We have different definition for the electrically small antenna but the one which is most appropriate is, where k is the wave number and is equal to and a is the radius of the imaginary sphere circumscribing the maximum dimension of the antenna. As the present day electronic devices progress to diminish in size, technocrats have become increasingly concentrated on electrically small antenna (ESA) designs to reduce the size of the antenna in the overall electronics system. Researchers in many fields, including RF and Microwave, biomedical technology and national intelligence, can benefit from electrically small antennas as long as the performance of the designed ESA meets the system requirement.
This document provides a comparative study of two-way finite automata and Turing machines. Some key points:
- Two-way finite automata are similar to read-only Turing machines in that they have a finite tape that can be read in both directions, but cannot write to the tape.
- Turing machines have an infinite tape that can be read from and written to, allowing them to recognize recursively enumerable languages.
- Both models are examined in their ability to accept the regular language L={anbm|m,n>0}.
- The time complexity of a two-way finite automaton for this language is O(n2) due to making two passes over the
This document analyzes and compares the performance of the AODV and DSDV routing protocols in a vehicular ad hoc network (VANET) simulation. Simulations were conducted using NS-2, SUMO, and MOVE simulators for a grid map scenario with varying numbers of nodes. The results show that AODV performed better than DSDV in terms of throughput and packet delivery fraction, while DSDV had lower end-to-end delays. However, neither protocol was found to be fully suitable for the highly dynamic VANET environment. The document concludes that further work is needed to develop improved routing protocols optimized for VANETs.
This document discusses the digital circuit layout problem and approaches to solving it using graph partitioning techniques. It begins by introducing the digital circuit layout problem and how it has become more complex with increasing circuit sizes. It then discusses how the problem can be decomposed into subproblems using graph partitioning to assign geometric coordinates to circuit components. The document reviews several traditional approaches to solve the problem, such as the Kernighan-Lin algorithm, and discusses their limitations for larger circuit sizes. It also discusses more recent approaches using evolutionary algorithms and concludes by analyzing the contributions of various approaches.
This document summarizes various data mining techniques that have been used for intrusion detection systems. It first describes the architecture of a data mining-based IDS, including sensors to collect data, detectors to evaluate the data using detection models, a data warehouse for storage, and a model generator. It then discusses supervised and unsupervised learning approaches that have been applied, including neural networks, support vector machines, K-means clustering, and self-organizing maps. Finally, it reviews several related works applying these techniques and compares their results, finding that combinations of approaches can improve detection rates while reducing false alarms.
This document provides an overview of speech recognition systems and recent progress in the field. It discusses different types of speech recognition including isolated word, connected word, continuous speech, and spontaneous speech. Various techniques used in speech recognition are also summarized, such as simulated evolutionary computation, artificial neural networks, fuzzy logic, Kalman filters, and Hidden Markov Models. The document reviews several papers published between 2004-2012 that studied speech recognition methods including using dynamic spectral subband centroids, Kalman filters, biomimetic computing techniques, noise estimation, and modulation filtering. It concludes that Hidden Markov Models combined with MFCC features provide good recognition results for large vocabulary, speaker-independent, continuous speech recognition.
This document discusses integrating two assembly lines, Line A and Line B, based on lean line design concepts to reduce space and operators. It analyzes the current state of the lines using tools like takt time analysis and MTM/UAS studies. Improvements are identified to eliminate waste, including methods improvements, workplace rearrangement, ergonomic changes, and outsourcing. Paper kaizen is conducted and work elements are retimed. The goal is to integrate the lines to better utilize space and manpower while meeting manufacturing standards.
This document summarizes research on the exposure of microwaves from cellular networks. It describes how microwaves interact with biological systems and discusses measurement techniques and safety standards regarding microwave exposure. While some studies have alleged health hazards from microwaves, independent reviews by health organizations have found no evidence that exposure to microwaves below international safety limits causes harm. The document concludes that with precautions like limiting exposure time and using phones with lower SAR ratings, microwaves from cell phones pose minimal health risks.
This document summarizes a research paper that examines the effect of feature reduction in sentiment analysis of online reviews. It uses principle component analysis to reduce the number of features (product attributes) from a dataset of 500 camera reviews labeled as positive or negative. Two models are developed - one using the original set of 95 product attributes, and one using the reduced set. Support vector machines and naive Bayes classifiers are applied to both models and their performance is evaluated to determine if classification accuracy can be maintained while using fewer features. The results show it is possible to achieve similar accuracy levels with less features, improving computational efficiency.
This document provides a review of multispectral palm image fusion techniques. It begins with an introduction to biometrics and palm print identification. Different palm print images capture different spectral information about the palm. The document then reviews several pixel-level fusion methods for combining multispectral palm images, finding that Curvelet transform performs best at preserving discriminative patterns. It also discusses hardware for capturing multispectral palm images and the process of region of interest extraction and localization. Common fusion methods like wavelet transform and Curvelet transform are also summarized.
This document describes a vehicle theft detection system that uses radio frequency identification (RFID) technology. The system involves embedding an RFID chip in each vehicle that continuously transmits a unique identification signal. When a vehicle is stolen, the owner reports it to the police, who upload the vehicle's information to a central database. Police vehicles are equipped with RFID receivers. If a stolen vehicle passes within range of a receiver, the receiver detects the vehicle's ID signal and displays its details on a tablet. This allows police to quickly identify and recover stolen vehicles. The system aims to make it difficult for thieves to hide a vehicle's identity and allows vehicles to be tracked globally wherever the detection system is implemented.
This document discusses and compares two techniques for image denoising using wavelet transforms: Dual-Tree Complex DWT and Double-Density Dual-Tree Complex DWT. Both techniques decompose an image corrupted by noise using filter banks, apply thresholding to the wavelet coefficients, and reconstruct the image. The Double-Density Dual-Tree Complex DWT yields better denoising results than the Dual-Tree Complex DWT as it produces more directional wavelets and is less sensitive to shifts and noise variance. Experimental results on test images demonstrate that the Double-Density method achieves higher peak signal-to-noise ratios, especially at higher noise levels.
This document compares the k-means and grid density clustering algorithms. It summarizes that grid density clustering determines dense grids based on the densities of neighboring grids, and is able to handle different shaped clusters in multi-density environments. The grid density algorithm does not require distance computation and is not dependent on the number of clusters being known in advance like k-means. The document concludes that grid density clustering is better than k-means clustering as it can handle noise and outliers, find arbitrary shaped clusters, and has lower time complexity.
This document proposes a method for detecting, localizing, and extracting text from videos with complex backgrounds. It involves three main steps:
1. Text detection uses corner metric and Laplacian filtering techniques independently to detect text regions. Corner metric identifies regions with high curvature, while Laplacian filtering highlights intensity discontinuities. The results are combined through multiplication to reduce noise.
2. Text localization then determines the accurate boundaries of detected text strings.
3. Text binarization filters background pixels to extract text pixels for recognition. Thresholding techniques are used to convert localized text regions to binary images.
The method exploits different text properties to detect text using corner metric and Laplacian filtering. Combining the results improves
This document describes the design and implementation of a low power 16-bit arithmetic logic unit (ALU) using clock gating techniques. A variable block length carry skip adder is used in the arithmetic unit to reduce power consumption and improve performance. The ALU uses a clock gating circuit to selectively clock only the active arithmetic or logic unit, reducing dynamic power dissipation from unnecessary clock charging/discharging. The ALU was simulated in VHDL and synthesized for a Xilinx Spartan 3E FPGA, achieving a maximum frequency of 65.19MHz at 1.98mW power dissipation, demonstrating improved performance over a conventional ALU design.
This document describes using particle swarm optimization (PSO) and genetic algorithms (GA) to tune the parameters of a proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. PSO and GA are used to minimize the objective function by adjusting the PID parameters to achieve optimal step response with minimal overshoot, settling time, and rise time. The results show that PSO provides high-quality solutions within a shorter calculation time than other stochastic methods.
This document discusses implementing trust negotiations in multisession transactions. It proposes a framework that supports voluntary and unexpected interruptions, allowing negotiating parties to complete negotiations despite temporary unavailability of resources. The Trust-x protocol addresses issues related to validity, temporary loss of data, and extended unavailability of one negotiator. It allows a peer to suspend an ongoing negotiation and resume it with another authenticated peer. Negotiation portions and intermediate states can be safely and privately passed among peers to guarantee stability for continued suspended negotiations. An ontology is also proposed to provide formal specification of concepts and relationships, which is essential in complex web service environments for sharing credential information needed to establish trust.
This document discusses and compares various nature-inspired optimization algorithms for resolving the mixed pixel problem in remote sensing imagery, including Biogeography-Based Optimization (BBO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). It provides an overview of each algorithm, explaining key concepts like migration and mutation in BBO. The document aims to prove that BBO is the best algorithm for resolving the mixed pixel problem by comparing it to other evolutionary algorithms. It also includes figures illustrating concepts like the species model and habitat in BBO.
This document discusses principal component analysis (PCA) for face recognition. It begins with an introduction to face recognition and PCA. PCA works by calculating eigenvectors from a set of face images, which represent the principal components that account for the most variance in the image data. These eigenvectors are called "eigenfaces" and can be used to reconstruct the face images. The document then discusses how the system is implemented, including preparing a face database, normalizing the training images, calculating the eigenfaces/principal components, projecting the face images into this reduced space, and recognizing faces by calculating distances between projected test images and training images.
This document summarizes research on using wireless sensor networks to detect mobile targets. It discusses two optimization problems: 1) maximizing the exposure of the least exposed path within a sensor budget, and 2) minimizing sensor installation costs while ensuring all paths have exposure above a threshold. It proposes using tabu search heuristics to provide near-optimal solutions. The research also addresses extending the models to consider wireless connectivity, heterogeneous sensors, and intrusion detection using a game theory approach. Experimental results show the proposed mobile replica detection scheme can rapidly detect replicas with no false positives or negatives.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.