The data storage in the cloud typically resides in a service providing environment collocated with data from different clients. The institutions or organizations moving the sensitive and regulated data into the cloud in order to maintain the account for the means by which the access data is controlled and the data is kept secure. Data can take many forms. The cloud based application development; it includes the application programs, scripts, and configuration settings, along with the development tools. For deployed applications, it includes records and other content created or used by the applications, as well as account information about the users of the applications. Access controls are one means to keep data away from unauthorized users; encryption is another. Access controls are typically identity-based, which makes authentication of the user’s identity an important issue in cloud computing. In this research paper focus the cloud data storage architectural frame work of encrypted data.
Effective & Flexible Cryptography Based Scheme for Ensuring User`s Data Secur...ijsrd.com
Cloud computing has been envisioned as the next-generation architecture of IT enterprise. 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 centers, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality of service. To ensure the correctness of users' data in the cloud, we propose an effective and flexible cryptography based scheme. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against malicious data modification attack.
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.
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
S.A.kalaiselvan toward secure and dependable storage serviceskalaiselvanresearch
This document proposes a scheme for ensuring data integrity and dependability for cloud storage systems. The scheme utilizes erasure coding to distribute data across multiple servers and generate verification tokens to enable lightweight auditing. It allows users to efficiently audit that their data is intact and to identify any misbehaving servers. The scheme also supports secure dynamic operations like updates, deletes and appends while maintaining the same level of integrity assurance. Analysis shows the scheme is efficient and resilient to various security threats from malicious servers.
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.
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.
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.
This document discusses security issues related to cloud computing. It begins with an introduction to cloud computing models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then discusses potential security attacks to clouds like denial of service attacks and man-in-the-middle attacks. Security concerns with moving data and applications to the cloud are outlined. Techniques for securely publishing data in the cloud are also presented. The document concludes that security in cloud computing is challenging due to the complexity of clouds but that assurance of secure and mission-critical operations is important.
Effective & Flexible Cryptography Based Scheme for Ensuring User`s Data Secur...ijsrd.com
Cloud computing has been envisioned as the next-generation architecture of IT enterprise. 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 centers, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality of service. To ensure the correctness of users' data in the cloud, we propose an effective and flexible cryptography based scheme. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against malicious data modification attack.
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.
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
S.A.kalaiselvan toward secure and dependable storage serviceskalaiselvanresearch
This document proposes a scheme for ensuring data integrity and dependability for cloud storage systems. The scheme utilizes erasure coding to distribute data across multiple servers and generate verification tokens to enable lightweight auditing. It allows users to efficiently audit that their data is intact and to identify any misbehaving servers. The scheme also supports secure dynamic operations like updates, deletes and appends while maintaining the same level of integrity assurance. Analysis shows the scheme is efficient and resilient to various security threats from malicious servers.
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.
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.
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.
This document discusses security issues related to cloud computing. It begins with an introduction to cloud computing models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then discusses potential security attacks to clouds like denial of service attacks and man-in-the-middle attacks. Security concerns with moving data and applications to the cloud are outlined. Techniques for securely publishing data in the cloud are also presented. The document concludes that security in cloud computing is challenging due to the complexity of clouds but that assurance of secure and mission-critical operations is important.
A SECURITY FRAMEWORK IN CLOUD COMPUTING INFRASTRUCTUREIJNSA Journal
In a typical cloud computing diverse facilitating components like hardware, software, firmware,
networking, and services integrate to offer different computational facilities, while Internet or a private
network (or VPN) provides the required backbone to deliver the services. The security risks to the cloud
system delimit the benefits of cloud computing like “on-demand, customized resource availability and
performance management”. It is understood that current IT and enterprise security solutions are not
adequate to address the cloud security issues. This paper explores the challenges and issues of security
concerns of cloud computing through different standard and novel solutions. We propose analysis and
architecture for incorporating different security schemes, techniques and protocols for cloud computing,
particularly in Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) systems. The proposed
architecture is generic in nature, not dependent on the type of cloud deployment, application agnostic and
is not coupled with the underlying backbone. This would facilitate to manage the cloud system more
effectively and provide the administrator to include the specific solution to counter the threat. We have also
shown using experimental data how a cloud service provider can estimate the charging based on the
security service it provides and security-related cost-benefit analysis can be estimated.
Iaetsd secured and efficient data scheduling of intermediate data setsIaetsd Iaetsd
This document discusses securing and efficiently scheduling intermediate data sets in cloud computing. It proposes using an upper bound constraint approach to identify sensitive intermediate data sets for encryption. Suppression techniques like semi-suppression and full-suppression are applied to sensitive data sets to reduce time and costs while the Value Generalization Hierarchy protocol is used to provide security during data access. Optimized balanced scheduling is also used to balance system loads and minimize costs. The goal is to efficiently manage intermediate data sets while preserving privacy.
This document summarizes a research paper that proposes a scheme for ensuring security and reliability of data stored in the cloud. The scheme utilizes erasure coding to redundantly store encrypted data fragments across multiple cloud servers. It generates homomorphic tokens that allow auditing of the data storage and identification of any misbehaving servers. The scheme supports secure dynamic operations like modification, deletion and append of cloud data files. Analysis shows the scheme is efficient and resilient against various security threats like server compromises or failures. It ensures storage correctness and fast localization of data errors in the cloud.
Enhancing Data Storage Security in Cloud Computing Through SteganographyIDES Editor
This document summarizes a research paper that proposes a method for enhancing data security in cloud computing through steganography. The method hides user data in digital images stored on cloud servers. When data needs to be accessed, it is extracted from the images. The document outlines the cloud architecture and security issues addressed. It then describes the proposed system architecture, security model, and data storage and retrieval process. Data is partitioned and hidden in multiple images to improve security. The goal is to prevent unauthorized access to user data stored on cloud servers.
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.
IRJET- Secure Cloud Storage through Dual ProtectionIRJET Journal
This document discusses secure cloud storage through dual protection. It proposes a system that encrypts stored data and splits files across three different cloud server locations. This provides strong security as an attacker would need to decrypt the files and combine the split pieces, which is not possible without the file owner's permission. The system uses key generation to verify file downloads and updates, only allowing downloads if the correct key is provided. This ensures data integrity and access control. Anyone can store files in the cloud but file owners must approve any downloads or updates by other users. The system aims to address security issues with cloud storage while maintaining usability, flexibility and efficient auditing of stored data.
Cloud Storage is a branch of Cloud Computing, which plays an important role in IT world. Cloud providers are providing a huge volume of storage space as per the user needs. Due to wide usage of this, it also increases data security issues and threats. Hence efforts are being made to encrypt the data stored in the cloud. In this paper, we are going to look at different encryption and auditing techniques that are used to avoid data breaching in cloud storage. Nikhil Sreenivasan ""Data Storage Issues in Cloud Computing"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30194.pdf
Paper Url : https://www.ijtsrd.com/computer-science/computer-network/30194/data-storage-issues-in-cloud-computing/nikhil-sreenivasan
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.
This document discusses security issues related to cloud computing. It begins with an introduction to cloud computing models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then discusses potential security threats in cloud computing like denial of service attacks, side channel attacks, and man-in-the-middle cryptographic attacks. The document proposes a layered framework for assured cloud computing and techniques for secure publication of data in the cloud, including encryption. It concludes that achieving end-to-end security in cloud computing will be challenging due to complexity, but that more secure operations can be ensured even if some parts of the cloud fail.
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.
DATA STORAGE SECURITY CHALLENGES IN CLOUD COMPUTINGijsptm
In the digital world using technology and new technologies require safe and reliable environment, and it also requires consideration to all the challenges that technology faces with them and address these challenges. Cloud computing is also one of the new technologies in the IT world in this rule there is no exception. According to studies one of the major challenges of this technology is the security and safety required for providing services and build trust in consumers to transfer their data into the cloud. In this paper we attempt to review and highlight security challenges, particularly the security of data storage in a cloud environment. Also, provides some offers to enhance the security of data storage in the cloud
computing systems that by using these opinions can be overcome somewhat on the problems.
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.
Enhancing Availability of Data in Mixed Homomorphic Encryption in Cloudijtsrd
In Forthcoming times of information technology companies, cloud computing updated as the structural model. There are so many benefits of cloud computing in technical as well as in organization. But still there are many new objections will carried in cloud computing for example in data security in cloud storage. There are many approaches available for data security in cloud storage like encryption with obfuscation technique, watermark security, data partitioning technique. In above all the approaches, there is no possibility that cloud data centers are operate computation on encrypted data so every time if user wants to modify data, it is necessary to decrypt data. The most used technique for providing security in cloud storage is Homomorphic encryption. In the homomorphic encryption technique, there is no need to decrypt whole data whenever user wants to update data. In the existing system used the mixed homomorphic scheme which reduce noise level in homomorphic encryption technique. The existing system focus on data corruption and data modification but what if system failure and power failure occurs. The user data may be loss in any reasons and user may not have any copy of data. The Existing system not focus on data loss. So in proposed work focus on availability of data by erasure code. By applying the erasure code if in any case user data is loss, will be reconstructed which provide more security than existing system. Bhargavi Patel ""Enhancing Availability of Data in Mixed Homomorphic Encryption in Cloud"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25104.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/25104/enhancing-availability-of-data-in-mixed-homomorphic-encryption-in-cloud/bhargavi-patel
Anonymous Key Based Secure File Encryption in CloudIRJET Journal
This document proposes a new system for secure file encryption and sharing in the cloud. It aims to address security issues with sharing data in social media. The key aspects of the proposed system are:
1. It creates separate databases for individual users and a local server to securely store user keys for encryption/decryption.
2. Files are encrypted using triple DES before being stored in the cloud to prevent unauthorized access.
3. A user can share files with others by providing encryption keys through the local server.
4. When a file is shared, a temporary server decrypts and re-encrypts the file with the recipient's key for added security.
The system aims to improve data security when
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.
Fog computing extends cloud computing by providing security and data processing capabilities at the edge of the network, close to end users and devices. It aims to address issues like high latency and bandwidth usage that can occur when all data processing is done in the cloud. Fog computing deploys computing, storage, and applications between end devices and cloud data centers so that data can be processed locally when needed. This helps enable real-time applications like smart energy grids that require low latency responses by running applications on edge devices instead of sending all data to the cloud.
A Secure Model for Cloud Computing Based Storage and RetrievalIOSR Journals
This document proposes a secure model for cloud computing storage and retrieval that separates these functions between two cloud providers. Specifically, it suggests that one provider handle storage only, while another handles only encryption and decryption. This separation prevents both functions and access to the raw data from being handled by a single administrator, improving security. The model is demonstrated using a customer relationship management (CRM) service example. It also discusses establishing service level agreements between the involved parties to formalize their roles and responsibilities.
This document discusses security issues with cloud computing and proposes solutions using encryption algorithms. Specifically, it discusses data integrity and theft issues with cloud storage. It then proposes using encryption algorithms like Triple DES, AES, and Blowfish to secure data stored in the cloud. The document reviews related work applying encryption to cloud security and evaluates the performance of different encryption algorithms for securing cloud storage. It concludes that AES encryption provides a suitable algorithm to address cloud security concerns.
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
Evaluation Of The Data Security Methods In Cloud Computing Environmentsijfcstjournal
This document discusses methods for ensuring data security in cloud computing environments. It begins by introducing cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The main goals of data security - confidentiality, integrity, and availability - are then described. Several methods for data security are proposed, including data fragmentation where sensitive data is divided and distributed across different domains. Encryption techniques are also discussed as ways to protect confidential data during storage and transmission. Overall, the document aims to evaluate approaches for addressing key issues around securing user data in cloud systems.
IRJET- Mutual Key Oversight Procedure for Cloud Security and Distribution of ...IRJET Journal
The document proposes a mutual key oversight procedure for cloud security and distribution of data based on a hierarchy method. It discusses using attribute-based encryption to encrypt data before outsourcing it to the cloud. The proposed scheme uses a hierarchical structure with a cloud authority, domain authorities, and users to provide security and scalability. It allows both private and public uploading and sharing of files within this hierarchy.
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.
A SECURITY FRAMEWORK IN CLOUD COMPUTING INFRASTRUCTUREIJNSA Journal
In a typical cloud computing diverse facilitating components like hardware, software, firmware,
networking, and services integrate to offer different computational facilities, while Internet or a private
network (or VPN) provides the required backbone to deliver the services. The security risks to the cloud
system delimit the benefits of cloud computing like “on-demand, customized resource availability and
performance management”. It is understood that current IT and enterprise security solutions are not
adequate to address the cloud security issues. This paper explores the challenges and issues of security
concerns of cloud computing through different standard and novel solutions. We propose analysis and
architecture for incorporating different security schemes, techniques and protocols for cloud computing,
particularly in Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) systems. The proposed
architecture is generic in nature, not dependent on the type of cloud deployment, application agnostic and
is not coupled with the underlying backbone. This would facilitate to manage the cloud system more
effectively and provide the administrator to include the specific solution to counter the threat. We have also
shown using experimental data how a cloud service provider can estimate the charging based on the
security service it provides and security-related cost-benefit analysis can be estimated.
Iaetsd secured and efficient data scheduling of intermediate data setsIaetsd Iaetsd
This document discusses securing and efficiently scheduling intermediate data sets in cloud computing. It proposes using an upper bound constraint approach to identify sensitive intermediate data sets for encryption. Suppression techniques like semi-suppression and full-suppression are applied to sensitive data sets to reduce time and costs while the Value Generalization Hierarchy protocol is used to provide security during data access. Optimized balanced scheduling is also used to balance system loads and minimize costs. The goal is to efficiently manage intermediate data sets while preserving privacy.
This document summarizes a research paper that proposes a scheme for ensuring security and reliability of data stored in the cloud. The scheme utilizes erasure coding to redundantly store encrypted data fragments across multiple cloud servers. It generates homomorphic tokens that allow auditing of the data storage and identification of any misbehaving servers. The scheme supports secure dynamic operations like modification, deletion and append of cloud data files. Analysis shows the scheme is efficient and resilient against various security threats like server compromises or failures. It ensures storage correctness and fast localization of data errors in the cloud.
Enhancing Data Storage Security in Cloud Computing Through SteganographyIDES Editor
This document summarizes a research paper that proposes a method for enhancing data security in cloud computing through steganography. The method hides user data in digital images stored on cloud servers. When data needs to be accessed, it is extracted from the images. The document outlines the cloud architecture and security issues addressed. It then describes the proposed system architecture, security model, and data storage and retrieval process. Data is partitioned and hidden in multiple images to improve security. The goal is to prevent unauthorized access to user data stored on cloud servers.
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.
IRJET- Secure Cloud Storage through Dual ProtectionIRJET Journal
This document discusses secure cloud storage through dual protection. It proposes a system that encrypts stored data and splits files across three different cloud server locations. This provides strong security as an attacker would need to decrypt the files and combine the split pieces, which is not possible without the file owner's permission. The system uses key generation to verify file downloads and updates, only allowing downloads if the correct key is provided. This ensures data integrity and access control. Anyone can store files in the cloud but file owners must approve any downloads or updates by other users. The system aims to address security issues with cloud storage while maintaining usability, flexibility and efficient auditing of stored data.
Cloud Storage is a branch of Cloud Computing, which plays an important role in IT world. Cloud providers are providing a huge volume of storage space as per the user needs. Due to wide usage of this, it also increases data security issues and threats. Hence efforts are being made to encrypt the data stored in the cloud. In this paper, we are going to look at different encryption and auditing techniques that are used to avoid data breaching in cloud storage. Nikhil Sreenivasan ""Data Storage Issues in Cloud Computing"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30194.pdf
Paper Url : https://www.ijtsrd.com/computer-science/computer-network/30194/data-storage-issues-in-cloud-computing/nikhil-sreenivasan
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.
This document discusses security issues related to cloud computing. It begins with an introduction to cloud computing models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then discusses potential security threats in cloud computing like denial of service attacks, side channel attacks, and man-in-the-middle cryptographic attacks. The document proposes a layered framework for assured cloud computing and techniques for secure publication of data in the cloud, including encryption. It concludes that achieving end-to-end security in cloud computing will be challenging due to complexity, but that more secure operations can be ensured even if some parts of the cloud fail.
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.
DATA STORAGE SECURITY CHALLENGES IN CLOUD COMPUTINGijsptm
In the digital world using technology and new technologies require safe and reliable environment, and it also requires consideration to all the challenges that technology faces with them and address these challenges. Cloud computing is also one of the new technologies in the IT world in this rule there is no exception. According to studies one of the major challenges of this technology is the security and safety required for providing services and build trust in consumers to transfer their data into the cloud. In this paper we attempt to review and highlight security challenges, particularly the security of data storage in a cloud environment. Also, provides some offers to enhance the security of data storage in the cloud
computing systems that by using these opinions can be overcome somewhat on the problems.
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.
Enhancing Availability of Data in Mixed Homomorphic Encryption in Cloudijtsrd
In Forthcoming times of information technology companies, cloud computing updated as the structural model. There are so many benefits of cloud computing in technical as well as in organization. But still there are many new objections will carried in cloud computing for example in data security in cloud storage. There are many approaches available for data security in cloud storage like encryption with obfuscation technique, watermark security, data partitioning technique. In above all the approaches, there is no possibility that cloud data centers are operate computation on encrypted data so every time if user wants to modify data, it is necessary to decrypt data. The most used technique for providing security in cloud storage is Homomorphic encryption. In the homomorphic encryption technique, there is no need to decrypt whole data whenever user wants to update data. In the existing system used the mixed homomorphic scheme which reduce noise level in homomorphic encryption technique. The existing system focus on data corruption and data modification but what if system failure and power failure occurs. The user data may be loss in any reasons and user may not have any copy of data. The Existing system not focus on data loss. So in proposed work focus on availability of data by erasure code. By applying the erasure code if in any case user data is loss, will be reconstructed which provide more security than existing system. Bhargavi Patel ""Enhancing Availability of Data in Mixed Homomorphic Encryption in Cloud"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25104.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/25104/enhancing-availability-of-data-in-mixed-homomorphic-encryption-in-cloud/bhargavi-patel
Anonymous Key Based Secure File Encryption in CloudIRJET Journal
This document proposes a new system for secure file encryption and sharing in the cloud. It aims to address security issues with sharing data in social media. The key aspects of the proposed system are:
1. It creates separate databases for individual users and a local server to securely store user keys for encryption/decryption.
2. Files are encrypted using triple DES before being stored in the cloud to prevent unauthorized access.
3. A user can share files with others by providing encryption keys through the local server.
4. When a file is shared, a temporary server decrypts and re-encrypts the file with the recipient's key for added security.
The system aims to improve data security when
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.
Fog computing extends cloud computing by providing security and data processing capabilities at the edge of the network, close to end users and devices. It aims to address issues like high latency and bandwidth usage that can occur when all data processing is done in the cloud. Fog computing deploys computing, storage, and applications between end devices and cloud data centers so that data can be processed locally when needed. This helps enable real-time applications like smart energy grids that require low latency responses by running applications on edge devices instead of sending all data to the cloud.
A Secure Model for Cloud Computing Based Storage and RetrievalIOSR Journals
This document proposes a secure model for cloud computing storage and retrieval that separates these functions between two cloud providers. Specifically, it suggests that one provider handle storage only, while another handles only encryption and decryption. This separation prevents both functions and access to the raw data from being handled by a single administrator, improving security. The model is demonstrated using a customer relationship management (CRM) service example. It also discusses establishing service level agreements between the involved parties to formalize their roles and responsibilities.
This document discusses security issues with cloud computing and proposes solutions using encryption algorithms. Specifically, it discusses data integrity and theft issues with cloud storage. It then proposes using encryption algorithms like Triple DES, AES, and Blowfish to secure data stored in the cloud. The document reviews related work applying encryption to cloud security and evaluates the performance of different encryption algorithms for securing cloud storage. It concludes that AES encryption provides a suitable algorithm to address cloud security concerns.
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
Evaluation Of The Data Security Methods In Cloud Computing Environmentsijfcstjournal
This document discusses methods for ensuring data security in cloud computing environments. It begins by introducing cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The main goals of data security - confidentiality, integrity, and availability - are then described. Several methods for data security are proposed, including data fragmentation where sensitive data is divided and distributed across different domains. Encryption techniques are also discussed as ways to protect confidential data during storage and transmission. Overall, the document aims to evaluate approaches for addressing key issues around securing user data in cloud systems.
IRJET- Mutual Key Oversight Procedure for Cloud Security and Distribution of ...IRJET Journal
The document proposes a mutual key oversight procedure for cloud security and distribution of data based on a hierarchy method. It discusses using attribute-based encryption to encrypt data before outsourcing it to the cloud. The proposed scheme uses a hierarchical structure with a cloud authority, domain authorities, and users to provide security and scalability. It allows both private and public uploading and sharing of files within this hierarchy.
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.
A Comparative Review on Data Security Challenges in Cloud ComputingIRJET Journal
This document discusses security challenges in cloud computing. It begins by providing background on cloud computing models including software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS), and deployment models. It then discusses various security challenges including those related to deployment models, service models, and networks. Specific issues mentioned include data breaches, data loss, insecure APIs, authentication and identity management. The document also reviews related work on cloud security and provides a comparative analysis of encryption algorithms used for cloud security such as DES, Triple DES, AES, and Blowfish.
This document summarizes and compares various encryption algorithms for providing security in cloud computing environments. It first discusses key-policy attribute-based encryption (KP-ABE) which associates attributes with keys and policies with data. It also covers ciphertext-policy attribute-based encryption (CP-ABE) which associates policies with ciphertext and attributes with keys. The document then analyzes expressive KP-ABE and ciphertext-policy attribute set-based encryption (CP-ASBE) which uses hierarchical attribute sets. It concludes that improving previous work to leverage hierarchical attribute sets of users may enhance security and access control when utilizing cloud computing.
This document summarizes and compares various encryption algorithms for providing security in cloud computing environments, including key-policy attribute-based encryption (KP-ABE), ciphertext-policy attribute-based encryption (CP-ABE), and ciphertext-policy attribute set-based encryption (CP-ASBE). KP-ABE associates attributes with keys and policies with data, while CP-ABE associates policies with data and attributes with keys. CP-ASBE improves on CP-ABE by organizing user attributes in a recursive set structure rather than a single set, allowing more flexibility in attribute combination and policy specification. The document analyzes the strengths and weaknesses of each approach for providing fine-grained access control and security for user data
SECURITY CONCERN ON CLOUD BASED ON ATTRIBUTES: AN SURVEYEditor Jacotech
This document summarizes and compares various encryption algorithms for providing security in cloud computing environments. It first discusses key-policy attribute-based encryption (KP-ABE) which associates attributes with keys and policies with data. It also covers ciphertext-policy attribute-based encryption (CP-ABE) which associates policies with ciphertext and attributes with keys. The document then analyzes expressive KP-ABE and ciphertext-policy attribute set-based encryption (CP-ASBE) which uses hierarchical attribute sets. It concludes that improving previous work to leverage hierarchical attribute sets of users may enhance security and access control when utilizing cloud computing.
IRJET- An EFficiency and Privacy-Preserving Biometric Identification Scheme i...IRJET Journal
This document proposes an efficient and privacy-preserving approach for outsourced data from resource-constrained mobile devices in cloud computing. It employs probabilistic public key encryption to encrypt the data and performs ranked keyword search over the encrypted data to retrieve files from the cloud. The approach aims to achieve efficient encryption without sacrificing data privacy. The ranked keyword search improves usability by returning the most relevant files and ensuring retrieval accuracy, while reducing computation and communication overhead. A thorough security and performance analysis proves the approach is semantically secure and efficient.
Fragmentation of Data in Large-Scale System For Ideal Performance and SecurityEditor IJCATR
Cloud computing is becoming prominent trend which offers the number of significant advantages. One of the ground laying
advantage of the cloud computing is the pay-as-per-use, where according to the use of the services, the customer has to pay. At present,
user’s storage availability improves the data generation. There is requiring farming out such large amount of data. There is indefinite
large number of Cloud Service Providers (CSP). The Cloud Service Providers is increasing trend for many number of organizations and
as well as for the customers that decreases the burden of the maintenance and local data storage. In cloud computing transferring data to
the third party administrator control will give rise to security concerns. Within the cloud, compromisation of data may occur due to
attacks by the unauthorized users and nodes. So, in order to protect the data in cloud the higher security measures are required and also
to provide security for the optimization of the data retrieval time. The proposed system will approach the issues of security and
performance. Initially in the DROPS methodology, the division of the files into fragments is done and replication of those fragmented
data over the cloud node is performed. Single fragment of particular file can be stored on each of the nodes which ensure that no
meaningful information is shown to an attacker on a successful attack. The separation of the nodes is done by T-Coloring in order to
prohibit an attacker to guess the fragment’s location. The complete data security is ensured by DROPS methodology
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.
A Threshold Secure Data Sharing Scheme for Federated CloudsIJORCS
The document proposes a secure data sharing scheme for federated clouds. The scheme uses a Trusted Cloud Authority (TCA) that controls participating clouds and generates private and public keys. Each cloud encrypts a secret value using its private key without knowing other clouds' values. They run a secure multi-party computation to calculate an encrypted sum polynomial. The TCA can later recover the original secret value from the sum polynomial without learning individual secret values. The scheme aims to ensure privacy and integrity of secret data shared between clouds during distributed computations.
Aes based secured framework for cloud databasesIJARIIT
This document presents a novel architecture for adaptive encryption of databases in public clouds. It proposes using the Advanced Encryption Standard (AES) algorithm to encrypt data before it is sent to cloud servers. The architecture allows SQL queries to be run directly on the encrypted data through the use of encrypted metadata. This provides confidentiality without requiring intermediate servers. The scheme aims to balance security, performance and cost for cloud database workloads through adaptive encryption techniques. It analyzes the encryption and adaptive encryption costs from a research perspective.
Cloud computing security through symmetric cipher modelijcsit
Cloud computing can be defined as an application and services which runs on distributed network using
virtualized and it is accessed through internet protocols and networking. Cloud computing resources and
virtual and limitless and information’s of the physical systems on which software running are abstracted
from the user. Cloud Computing is a style of computing in which dynamically scalable and often virtualized
resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or
control over the technology infrastructure in the "cloud" that supports them. To satisfy the needs of the
users the concept is to incorporate technologies which have the common theme of reliance on the internet
Software and data are stored on the servers whereas cloud computing services are provided through
applications online which can be accessed from web browsers. Lack of security and access control is the
major drawback in the cloud computing as the users deal with sensitive data to public clouds .Multiple
virtual machine in cloud can access insecure information flows as service provider; therefore to implement
the cloud it is necessary to build security. Therefore the main aim of this paper is to provide cloud
computing security through symmetric cipher model. This article proposes symmetric cipher model in
order to implement cloud computing security so that data can accessed and stored securely.
A SECURITY FRAMEWORK IN CLOUD COMPUTING INFRASTRUCTUREIJNSA Journal
In a typical cloud computing diverse facilitating components like hardware, software, firmware, networking, and services integrate to offer different computational facilities, while Internet or a private network (or VPN) provides the required backbone to deliver the services. The security risks to the cloud system delimit the benefits of cloud computing like “on-demand, customized resource availability and performance management”. It is understood that current IT and enterprise security solutions are not adequate to address the cloud security issues. This paper explores the challenges and issues of security concerns of cloud computing through different standard and novel solutions. We propose analysis and architecture for incorporating different security schemes, techniques and protocols for cloud computing, particularly in Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) systems. The proposed architecture is generic in nature, not dependent on the type of cloud deployment, application agnostic and is not coupled with the underlying backbone. This would facilitate to manage the cloud system more effectively and provide the administrator to include the specific solution to counter the threat. We have also shown using experimental data how a cloud service provider can estimate the charging based on the security service it provides and security-related cost-benefit analysis can be estimated.
Guaranteed Availability of Cloud Data with Efficient CostIRJET Journal
This document discusses efficient and cost-effective methods for hosting data across multiple cloud storage providers (multi-cloud) to ensure high data availability and reduce costs. It proposes distributing data among different cloud providers using replication and erasure coding techniques. This approach guarantees data availability even if one cloud provider fails and minimizes monetary costs by taking advantage of varying cloud pricing models and data access patterns. The technique is shown to save around 20% of costs while providing high flexibility to handle data and pricing changes over time.
IRJET- Simultaneous ammunition for the multi-cloud computing simulation IRJET Journal
This document discusses techniques for securing data in multi-cloud computing simulations. It proposes a protocol for securely transferring data between cloud servers and storage nodes using encryption and digital signatures. The protocol uses cryptographic algorithms like elliptic curve cryptography to encrypt data, generate digital signatures for authentication, and distribute encrypted data fragments across multiple clouds for redundancy and access control. A simulation of the protocol shows how cloudlets are distributed across different data centers and virtual machines using encrypted channels and access controls. The protocol aims to provide secure data transmission and storage in multi-cloud environments.
Security for Effective Data Storage in Multi CloudsEditor IJCATR
Cloud Computing is a technology that uses the internet and central remote servers to maintain data and
applications. Cloud computing allows consumers and businesses to use applications without installation and access their personal
files at any computer with internet access. This technology allows for much more efficient computing by centralizing data
storage, processing and bandwidth. The use of cloud computing has increased rapidly in many organizations. Cloud computing
provides many benefits in terms of low cost and accessibility of data. Ensuring the security of cloud computing is a major factor
in the cloud computing environment, as users often store sensitive information with cloud storage providers but these providers
may be untrusted. Dealing with “single cloud” providers is predicted to become less popular with customers due to risks of
service availability failure and the possibility of malicious insiders in the single cloud. A movement towards “multi-clouds”, or in
other words, “interclouds” or “cloud-of clouds” has emerged recently. This paper surveys recent research related to single and
multi-cloud security and addresses possible solutions. It is found that the research into the use of multicloud providers to maintain
security has received less attention from the research community than has the use of single clouds. This work aims to promote the
use of multi-clouds due to its ability to reduce security risks that affect the cloud computing user.
A Secure Cloud Storage System with Data Forwarding using Proxy Re-encryption ...IJTET Journal
Cloud computing provides the facility to access shared resources and common support which contributes services on
demand over the network to perform operations that meet changing business needs. A cloud storage system, consisting of a collection
of storage servers, affords long-term storage services over the internet. Storing the data in a third party cloud system cause serious
concern over data confidentiality, without considering the local infrastructure limitations, the cloud services allow the user to enjoy the
cloud applications. As the different users may be working in the collaborative relationship, the data sharing becomes significant to
achieve productive benefit during the data accessing. The existing security system only focuses on the authentication; it shows that
user’s private data cannot be accessed by the fake users. To address the above cloud storage privacy issue shared authority based
privacy-preserving authentication protocol is used. In the SAPA, the shared access authority is achieved by anonymous access request
and privacy consideration, attribute based access control allows the user to access their own data fields. To provide the data sharing
among the multiple users proxy re-encryption scheme is applied by the cloud server. The privacy-preserving data access authority
sharing is attractive for multi-user collaborative cloud applications.
Similar to Enhancement of the Cloud Data Storage Architectural Framework in Private Cloud (20)
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
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Artificial intelligence (AI) | Definitio
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
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LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Enhancement of the Cloud Data Storage Architectural Framework in Private Cloud
1. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-5, May- 2016]
Infogain Publication (Infogainpublication.com) ISSN : 2454-1311
www.ijaems.com Page | 340
Enhancement of the Cloud Data Storage
Architectural Framework in Private Cloud
Dr. K. Subramanian1
, M.Mohamed Sirajudeen2
1
Department of Computer Science, V.S.S Government Arts College, Pulankuruchi, Pudukottai,
Tamil Nadu, India.
2
Corresponding Author, Department of Computer Science, J.J College of Arts and Science, Pudukottai, Tamil Nadu, India.
Abstract— The data storage in the cloud typically resides
in a service providing environment collocated with data
from different clients. The institutions or organizations
moving the sensitive and regulated data into the cloud in
order to maintain the account for the means by which the
access data is controlled and the data is kept secure.
Data can take many forms. The cloud based application
development; it includes the application programs,
scripts, and configuration settings, along with the
development tools. For deployed applications, it includes
records and other content created or used by the
applications, as well as account information about the
users of the applications. Access controls are one means
to keep data away from unauthorized users; encryption is
another. Access controls are typically identity-based,
which makes authentication of the user’s identity an
important issue in cloud computing. In this research
paper focus the cloud data storage architectural frame
work of encrypted data.
Keywords— Data, Secure, Cloud storage and access
control.
I. INTRODUCTION
In general, the procedures for protecting data at rest are
not as well standardized, however, making the
interoperability an issue due to the predominance of
proprietary systems. The lack of interoperability affects
the availability of data and complicates the portability of
applications and data between cloud providers.
Currently, the responsibility for cryptographic key
management falls mainly on the cloud service subscriber.
Key generation and storage is usually performed outside
the cloud using hardware security modules, which do not
scale well to the cloud paradigm. NIST’s Cryptographic
Key Management Project is identifying scalable and
usable cryptographic key management and exchange
strategies for use by government, which could help to
alleviate the problem eventually. Protecting data in use is
an emerging area of cryptography with little practical
results to offer, leaving trust mechanisms as the main
safeguard [1].The data sanitization practices that a cloud
provider implements have obvious implications for
security. Sanitization is the removal of sensitive data
from a storage device in various situations, such as when
a storage device is removed from service or moved
elsewhere to be stored. Data refinement also applies to
backup copies made for recovery and restoration of
service, and also residual data remaining upon termination
of service. In a cloud computing environment, data from
one subscriber is physically commingled with the data of
other subscribers, which can complicate matters. For
instance, many examples exist of researchers obtaining
used drives from online auctions and other sources and
recovering large amounts of sensitive information from
them [3].
First of all, there are currently no standards for cloud-
based storage or computing. This can make porting an
infrastructure from one vendor to another dicey at best,
and may mean you're subject to the whims of an
infrastructure provider. This is a key issue that emerging
cloud-based storage solutions will address, but
nonetheless is a major challenge today. Once solutions are
available from major vendors, more services with
common APIs will become available, and developers will
come up with mappings between other popular APIs
(such as Amazon S3, and potentially even XAM).
The cloud-based storage solutions still fall short of
meeting all IT storage needs. The biggest gap is where
databases are concerned. While Amazon S3 started life
looking very much like a widely distributed, extremely
flat database, it has never been capable of meeting
traditional enterprise database needs: It is not relational in
the traditional sense, it lacks DBMS tools, and because it
is designed to support loosely coupled applications, it
does not support high loads of guaranteed, consistent
transactions expected in traditional database
environments. More importantly, without a distributable
database, the cloud looks like a poor place for databases
applications that depend on access to single instances of
databases in the cloud will never be able to benefit from
load balancing, scalability, and improved availability; all
of which may imply the use of multiple copies of data or
stateless redirection of data connections.
2. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-5, May- 2016]
Infogain Publication (Infogainpublication.com) ISSN : 2454-1311
www.ijaems.com Page | 341
This is an area of critical importance in which next-
generation cloud-based storage vendors must begin to
innovate.
In this paper, to give the attention of segmentation of
encrypted cloud data into two major components such as
the encryption key (EK) and the cloud data(CD),
thereafter the EK and CD will store in different cloud
servers situated perpendicular (orthogonal) with each
other.
Fig.1.1: General Cloud Data Storage Frameworks
The above figure 1.1 illustrates the general storage
mechanism of the data transfer between the clients and
server. The standard data storage mechanism is focus on
the data either it will encrypt neither form nor original
form, it occupies in the same server or single server. It
causes more security risks for highly sensitive data. In
order to avoid such kind of risk as well as to improve the
authenticated access by using this proposed cloud storage
management.
II. RELATED WORK
Moving data and applications to a cloud computing
environment operated by a cloud provider expands the
insider security risk not only to the cloud provider’s staff,
but also potentially among other customers using the
service.
For example, a denial of service attack launched by a
malicious insider was demonstrated against a well-known
IaaS cloud [2]. The architecture of the software systems
used to deliver cloud services comprises hardware and
software residing in the cloud. The physical location of
the infrastructure is determined by the cloud provider as is
the implementation of the reliability and scalability logic
of the underlying support framework.
Virtual machines often serve as the abstract unit of
deployment and are loosely coupled with the cloud
storage architecture. Applications are built on the
programming interfaces of Internet-accessible services,
which typically involve multiple cloud components
communicating with each other over application
programming interfaces.
Many of the simplified interfaces and service abstractions
belie the inherent complexity that affects security. Data
must be secured while at rest, in transit, and in use, and
access to the data must be controlled. Standards for
communications protocols and public key certificates
allow data transfers to be protected using cryptography.
Procedures for protecting data at rest are not as well
standardized, however, making interoperability an issue
due to the predominance of proprietary systems. The lack
of interoperability affects the availability of data and
complicates the portability of applications and data
between cloud providers.
While outsourcing relieves operational commitment on
the part of the organization, the act of engaging a cloud
provider’s offerings for public cloud services poses risks
against which an organization needs to safeguard itself.
The analysis must include factors such as the service
model involved, the purpose and scope of the service, the
types and level of access needed by the provider and
proposed for use between the organizational computing
environment and provider services.
The service duration and dependencies, and the strength
of protection offered via the security controls available
from the cloud provider [4]. The Cloud data storage of
encrypted key along with data store architectural
framework is depicted in the following figure 1.2.
Fig.1.2: Encrypted Key and Data Storage architectural
frame work
III. PROPOSED WORK
The basic principle of the proposed architectural
framework mainly focuses on the storage of encrypted
message in private cloud. There are different mechanism
of secure data transmission is proposed by different
cryptographic algorithms for example. RSA (Rivest,
Shamir and Aldemin), AES (Advanced Encryption
Standard), DES (Data Encryption Standard).
3. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-5, May- 2016]
Infogain Publication (Infogainpublication.com) ISSN : 2454-1311
www.ijaems.com Page | 341
This is an area of critical importance in which next-
generation cloud-based storage vendors must begin to
innovate.
In this paper, to give the attention of segmentation of
encrypted cloud data into two major components such as
the encryption key (EK) and the cloud data(CD),
thereafter the EK and CD will store in different cloud
servers situated perpendicular (orthogonal) with each
other.
Fig.1.1: General Cloud Data Storage Frameworks
The above figure 1.1 illustrates the general storage
mechanism of the data transfer between the clients and
server. The standard data storage mechanism is focus on
the data either it will encrypt neither form nor original
form, it occupies in the same server or single server. It
causes more security risks for highly sensitive data. In
order to avoid such kind of risk as well as to improve the
authenticated access by using this proposed cloud storage
management.
II. RELATED WORK
Moving data and applications to a cloud computing
environment operated by a cloud provider expands the
insider security risk not only to the cloud provider’s staff,
but also potentially among other customers using the
service.
For example, a denial of service attack launched by a
malicious insider was demonstrated against a well-known
IaaS cloud [2]. The architecture of the software systems
used to deliver cloud services comprises hardware and
software residing in the cloud. The physical location of
the infrastructure is determined by the cloud provider as is
the implementation of the reliability and scalability logic
of the underlying support framework.
Virtual machines often serve as the abstract unit of
deployment and are loosely coupled with the cloud
storage architecture. Applications are built on the
programming interfaces of Internet-accessible services,
which typically involve multiple cloud components
communicating with each other over application
programming interfaces.
Many of the simplified interfaces and service abstractions
belie the inherent complexity that affects security. Data
must be secured while at rest, in transit, and in use, and
access to the data must be controlled. Standards for
communications protocols and public key certificates
allow data transfers to be protected using cryptography.
Procedures for protecting data at rest are not as well
standardized, however, making interoperability an issue
due to the predominance of proprietary systems. The lack
of interoperability affects the availability of data and
complicates the portability of applications and data
between cloud providers.
While outsourcing relieves operational commitment on
the part of the organization, the act of engaging a cloud
provider’s offerings for public cloud services poses risks
against which an organization needs to safeguard itself.
The analysis must include factors such as the service
model involved, the purpose and scope of the service, the
types and level of access needed by the provider and
proposed for use between the organizational computing
environment and provider services.
The service duration and dependencies, and the strength
of protection offered via the security controls available
from the cloud provider [4]. The Cloud data storage of
encrypted key along with data store architectural
framework is depicted in the following figure 1.2.
Fig.1.2: Encrypted Key and Data Storage architectural
frame work
III. PROPOSED WORK
The basic principle of the proposed architectural
framework mainly focuses on the storage of encrypted
message in private cloud. There are different mechanism
of secure data transmission is proposed by different
cryptographic algorithms for example. RSA (Rivest,
Shamir and Aldemin), AES (Advanced Encryption
Standard), DES (Data Encryption Standard).
4. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-5, May- 2016]
Infogain Publication (Infogainpublication.com) ISSN : 2454-1311
www.ijaems.com Page | 341
This is an area of critical importance in which next-
generation cloud-based storage vendors must begin to
innovate.
In this paper, to give the attention of segmentation of
encrypted cloud data into two major components such as
the encryption key (EK) and the cloud data(CD),
thereafter the EK and CD will store in different cloud
servers situated perpendicular (orthogonal) with each
other.
Fig.1.1: General Cloud Data Storage Frameworks
The above figure 1.1 illustrates the general storage
mechanism of the data transfer between the clients and
server. The standard data storage mechanism is focus on
the data either it will encrypt neither form nor original
form, it occupies in the same server or single server. It
causes more security risks for highly sensitive data. In
order to avoid such kind of risk as well as to improve the
authenticated access by using this proposed cloud storage
management.
II. RELATED WORK
Moving data and applications to a cloud computing
environment operated by a cloud provider expands the
insider security risk not only to the cloud provider’s staff,
but also potentially among other customers using the
service.
For example, a denial of service attack launched by a
malicious insider was demonstrated against a well-known
IaaS cloud [2]. The architecture of the software systems
used to deliver cloud services comprises hardware and
software residing in the cloud. The physical location of
the infrastructure is determined by the cloud provider as is
the implementation of the reliability and scalability logic
of the underlying support framework.
Virtual machines often serve as the abstract unit of
deployment and are loosely coupled with the cloud
storage architecture. Applications are built on the
programming interfaces of Internet-accessible services,
which typically involve multiple cloud components
communicating with each other over application
programming interfaces.
Many of the simplified interfaces and service abstractions
belie the inherent complexity that affects security. Data
must be secured while at rest, in transit, and in use, and
access to the data must be controlled. Standards for
communications protocols and public key certificates
allow data transfers to be protected using cryptography.
Procedures for protecting data at rest are not as well
standardized, however, making interoperability an issue
due to the predominance of proprietary systems. The lack
of interoperability affects the availability of data and
complicates the portability of applications and data
between cloud providers.
While outsourcing relieves operational commitment on
the part of the organization, the act of engaging a cloud
provider’s offerings for public cloud services poses risks
against which an organization needs to safeguard itself.
The analysis must include factors such as the service
model involved, the purpose and scope of the service, the
types and level of access needed by the provider and
proposed for use between the organizational computing
environment and provider services.
The service duration and dependencies, and the strength
of protection offered via the security controls available
from the cloud provider [4]. The Cloud data storage of
encrypted key along with data store architectural
framework is depicted in the following figure 1.2.
Fig.1.2: Encrypted Key and Data Storage architectural
frame work
III. PROPOSED WORK
The basic principle of the proposed architectural
framework mainly focuses on the storage of encrypted
message in private cloud. There are different mechanism
of secure data transmission is proposed by different
cryptographic algorithms for example. RSA (Rivest,
Shamir and Aldemin), AES (Advanced Encryption
Standard), DES (Data Encryption Standard).