This document proposes a system for securely storing data in the cloud using dual protection. The system splits data files into multiple parts and stores each part in different cloud server locations. It also encrypts each split file before storage. This makes the data difficult for attackers to access, as they would need to decrypt the files and recombine parts from different locations. The system generates keys for auditing and verification. It allows file sharing and editing with owner permission. When users download files, they must provide the correct security key, which is verified before decrypting and recombining the file. The dual protection of splitting and encrypting files improves security for cloud data storage.
Improve HLA based Encryption Process using fixed Size Aggregate Key generationEditor IJMTER
Cloud computing is an innovative idea for IT industries which provides several services to
users. In cloud computing secure authentication and data integrity of data is a major challenge, due to
internal and external threats. For improvement in data security over cloud, various techniques are
used.MAC based authentication is one of them, which suffers from undesirable systematic demerits
which have bounded usage and not secure verification, which may pose additional online load to users,
in a public auditing setting. Reliable and secure auditing are also challenging in cloud. In Cloud auditing
existing audit systems are based on aggregate key HLA algorithm. This algorithm is based on variable
sizes, different aggregate key generation, which encounters with security issues at decryption level.
Current Scheme generates a high length of key decryption that encounters with problem of space
complexity. To overcome these issues, We can improve HLA algorithm by improve aggregate key
generation, based on fixed key size. This algorithm generates constant aggregate key which will
overcomes problem of sharing of keys, security issues and space complexity.
Enhanced security framework to ensure data security in cloud using security b...eSAT Journals
Abstract Data security and Access control is a challenging research work in Cloud Computing. Cloud service users upload there private and confidential data over the cloud. As the data is transferred among the server and client, the data is to be protected from unauthorized entries into the server, by authenticating the user’s and provide high secure priority to the data. So the Experts always recommend using different passwords for different logins. Any normal person cannot possibly follow that advice and memorize all their usernames and passwords. That is where password managers come in. The purpose of this paper is to secure data from unauthorized person using Security blanket algorithm.
Improve HLA based Encryption Process using fixed Size Aggregate Key generationEditor IJMTER
Cloud computing is an innovative idea for IT industries which provides several services to
users. In cloud computing secure authentication and data integrity of data is a major challenge, due to
internal and external threats. For improvement in data security over cloud, various techniques are
used.MAC based authentication is one of them, which suffers from undesirable systematic demerits
which have bounded usage and not secure verification, which may pose additional online load to users,
in a public auditing setting. Reliable and secure auditing are also challenging in cloud. In Cloud auditing
existing audit systems are based on aggregate key HLA algorithm. This algorithm is based on variable
sizes, different aggregate key generation, which encounters with security issues at decryption level.
Current Scheme generates a high length of key decryption that encounters with problem of space
complexity. To overcome these issues, We can improve HLA algorithm by improve aggregate key
generation, based on fixed key size. This algorithm generates constant aggregate key which will
overcomes problem of sharing of keys, security issues and space complexity.
Enhanced security framework to ensure data security in cloud using security b...eSAT Journals
Abstract Data security and Access control is a challenging research work in Cloud Computing. Cloud service users upload there private and confidential data over the cloud. As the data is transferred among the server and client, the data is to be protected from unauthorized entries into the server, by authenticating the user’s and provide high secure priority to the data. So the Experts always recommend using different passwords for different logins. Any normal person cannot possibly follow that advice and memorize all their usernames and passwords. That is where password managers come in. The purpose of this paper is to secure data from unauthorized person using Security blanket algorithm.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Cloud computing is a paradigm evolution that benefits from virtualisation technologies and introduces “everything-as-a-service” as a technical and business concept supported by pay-per-use pricing models. Whilst the on-demand characteristics of this novel paradigm provide revolutionary advances in technical ability, the changes while incorporating this into an IT infrastructure raise many complex problems and risks with regards to auditing. Auditing is the process of tracing and logging significant events the take place during the system run-time for analysis, and can be seen as a vital tool in validating and securing systems.
Enhanced Data Partitioning Technique for Improving Cloud Data Storage SecurityEditor IJMTER
Cloud computing is a model for enabling for on demand network access to shared
configurable computing resources (e.g. networks, servers, storage, applications, and services).It is
based on virtualization and distributed computing technologies. Cloud Data storage systems enable
user to store data efficiently on server without any trouble of data resources. User can easily store
and retrieve their data remotely. The two biggest concerns about cloud data storage are reliability and
security. Clients aren’t like to entrust their data to another third party or companies without a
guarantee that they will be able to access therein formations whenever they want. In the existing
system, the data are stored in the cloud using dynamic data operation with computation which makes
the user need to make a copy for further updating and verification of the data loss. Different
distributed storing auditing techniques are used for overcoming the problem of data loss. Recent
work of this paper has show that data partitioning technique used for data storage by providing
Digital signature to every partitioning data and user .this technique allow user to upload or retrieve
the data with matching the digital signatures provided to them. This method ensures high cloud
storage integrity, enhanced error localization and easy identification of misbehaving server and
unauthorized access to the cloud server. Hence this work aims to store the data securely in reduced
space with less time and computational cost.
Identity based proxy-oriented data uploading and remote data integrity checki...Finalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
Identity-Based Distributed Provable Data Possession in Multicloud Storage1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Design and implementation of a privacy preserved off premises cloud storagesarfraznawaz
Despite several cost-effective and flexible characteristics of cloud computing, some clients are reluctant to adopt this paradigm due to emerging security and privacy concerns. Organization such as Healthcare and Payment Card Industry where confidentiality of information is a vital act, are not assertive to trust the security techniques and privacy policies offered by cloud service providers. Malicious attackers have violated the cloud storages to steal, view, manipulate and tamper client's data. Attacks on cloud storages are extremely challenging to detect and mitigate. In order to formulate privacy preserved cloud storage, in this research paper, we propose an improved technique that consists of five contributions such as Resilient role-based access control mechanism, Partial homomorphic cryptography, metadata generation and sound steganography, Efficient third-party auditing service, Data backup and recovery process. We implemented these components using Java Enterprise Edition with Glassfish Server. Finally we evaluated our proposed technique by penetration testing and the results showed that client’s data is intact and protected from malicious attackers.
Insuring Security for Outsourced Data Stored in Cloud EnvironmentEditor IJCATR
The cloud storage offers users with infrastructure flexibility, faster deployment of applications and data, cost
control, adaptation of cloud resources to real needs, improved productivity, etc. Inspite of these advantageous factors, there
are several deterrents to the widespread adoption of cloud computing remain. Among them, security towards the correctness
of the outsourced data and issues of privacy lead a major role. In order to avoid security risk for the outsourced data, we
propose the dynamic audit services that enables integrity verification of untrusted and outsourced storages. An interactive
proof system (IPS) with the zero knowledge property is introduced to provide public auditability without downloading raw
data and protect privacy of the data. In the proposed system data owner stores the large number of data in cloud after e
encrypting the data with private key and also send public key to third party auditor (TPA) for auditing purpose. TPA in
clouds and it’s maintained by CSP. An Authorized Application (AA), which holds a data owners secret key (sk) and
manipulate the outsourced data and update the associated IHT stored in TPA. Finally Cloud users access the services through
the AA. Our system also provides secure auditing while the data owner outsourcing the data in the cloud. And after
performing auditing operations, security solutions are enhanced for the purpose of detecting malicious users with the help of
Certificate Authority
A Survey on Different Techniques Used in Decentralized Cloud ComputingEditor IJCATR
This paper proposes various methods for anonymous authentication for data stored in cloud. Cloud verifies the authenticity
of the series without knowing the user’s identity before storing data. This paper also has the added feature of access control in which
only valid users are able to decrypt the stored information. These schemes also prevents replay attacks and supports creation,
modification, and reading data stored in the cloud. Moreover, our authentication and access control scheme is decentralized and robust,
unlike other access control schemes designed for clouds which are centralized. The communication, computation, and storage
overheads are comparable to centralized approaches .The aim of this paper is to cover many security issues arises in cloud computing
and different schemes to prevent security risks in cloud. Storage-as-a-service (Saas) offered by cloud service providers (CSPs) is a paid
facility that enables organizations to outsource their sensitive data to be stored on remote servers. In this paper, we propose a cloudbased
storage schemes that allows the data owner to benefit from the facilities offered by the CSP and enables indirect mutual trust
between them. This Paper provides different authentication techniques and algorithms for cloud security.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Cloud computing is a paradigm evolution that benefits from virtualisation technologies and introduces “everything-as-a-service” as a technical and business concept supported by pay-per-use pricing models. Whilst the on-demand characteristics of this novel paradigm provide revolutionary advances in technical ability, the changes while incorporating this into an IT infrastructure raise many complex problems and risks with regards to auditing. Auditing is the process of tracing and logging significant events the take place during the system run-time for analysis, and can be seen as a vital tool in validating and securing systems.
Enhanced Data Partitioning Technique for Improving Cloud Data Storage SecurityEditor IJMTER
Cloud computing is a model for enabling for on demand network access to shared
configurable computing resources (e.g. networks, servers, storage, applications, and services).It is
based on virtualization and distributed computing technologies. Cloud Data storage systems enable
user to store data efficiently on server without any trouble of data resources. User can easily store
and retrieve their data remotely. The two biggest concerns about cloud data storage are reliability and
security. Clients aren’t like to entrust their data to another third party or companies without a
guarantee that they will be able to access therein formations whenever they want. In the existing
system, the data are stored in the cloud using dynamic data operation with computation which makes
the user need to make a copy for further updating and verification of the data loss. Different
distributed storing auditing techniques are used for overcoming the problem of data loss. Recent
work of this paper has show that data partitioning technique used for data storage by providing
Digital signature to every partitioning data and user .this technique allow user to upload or retrieve
the data with matching the digital signatures provided to them. This method ensures high cloud
storage integrity, enhanced error localization and easy identification of misbehaving server and
unauthorized access to the cloud server. Hence this work aims to store the data securely in reduced
space with less time and computational cost.
Identity based proxy-oriented data uploading and remote data integrity checki...Finalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
Identity-Based Distributed Provable Data Possession in Multicloud Storage1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Design and implementation of a privacy preserved off premises cloud storagesarfraznawaz
Despite several cost-effective and flexible characteristics of cloud computing, some clients are reluctant to adopt this paradigm due to emerging security and privacy concerns. Organization such as Healthcare and Payment Card Industry where confidentiality of information is a vital act, are not assertive to trust the security techniques and privacy policies offered by cloud service providers. Malicious attackers have violated the cloud storages to steal, view, manipulate and tamper client's data. Attacks on cloud storages are extremely challenging to detect and mitigate. In order to formulate privacy preserved cloud storage, in this research paper, we propose an improved technique that consists of five contributions such as Resilient role-based access control mechanism, Partial homomorphic cryptography, metadata generation and sound steganography, Efficient third-party auditing service, Data backup and recovery process. We implemented these components using Java Enterprise Edition with Glassfish Server. Finally we evaluated our proposed technique by penetration testing and the results showed that client’s data is intact and protected from malicious attackers.
Insuring Security for Outsourced Data Stored in Cloud EnvironmentEditor IJCATR
The cloud storage offers users with infrastructure flexibility, faster deployment of applications and data, cost
control, adaptation of cloud resources to real needs, improved productivity, etc. Inspite of these advantageous factors, there
are several deterrents to the widespread adoption of cloud computing remain. Among them, security towards the correctness
of the outsourced data and issues of privacy lead a major role. In order to avoid security risk for the outsourced data, we
propose the dynamic audit services that enables integrity verification of untrusted and outsourced storages. An interactive
proof system (IPS) with the zero knowledge property is introduced to provide public auditability without downloading raw
data and protect privacy of the data. In the proposed system data owner stores the large number of data in cloud after e
encrypting the data with private key and also send public key to third party auditor (TPA) for auditing purpose. TPA in
clouds and it’s maintained by CSP. An Authorized Application (AA), which holds a data owners secret key (sk) and
manipulate the outsourced data and update the associated IHT stored in TPA. Finally Cloud users access the services through
the AA. Our system also provides secure auditing while the data owner outsourcing the data in the cloud. And after
performing auditing operations, security solutions are enhanced for the purpose of detecting malicious users with the help of
Certificate Authority
A Survey on Different Techniques Used in Decentralized Cloud ComputingEditor IJCATR
This paper proposes various methods for anonymous authentication for data stored in cloud. Cloud verifies the authenticity
of the series without knowing the user’s identity before storing data. This paper also has the added feature of access control in which
only valid users are able to decrypt the stored information. These schemes also prevents replay attacks and supports creation,
modification, and reading data stored in the cloud. Moreover, our authentication and access control scheme is decentralized and robust,
unlike other access control schemes designed for clouds which are centralized. The communication, computation, and storage
overheads are comparable to centralized approaches .The aim of this paper is to cover many security issues arises in cloud computing
and different schemes to prevent security risks in cloud. Storage-as-a-service (Saas) offered by cloud service providers (CSPs) is a paid
facility that enables organizations to outsource their sensitive data to be stored on remote servers. In this paper, we propose a cloudbased
storage schemes that allows the data owner to benefit from the facilities offered by the CSP and enables indirect mutual trust
between them. This Paper provides different authentication techniques and algorithms for cloud security.
Security Check in Cloud Computing through Third Party Auditorijsrd.com
In cloud computing, data owners crowd their data on cloud servers and users (data consumers) can access the data from cloud servers. Due to the data outsourcing, however, it requires an independent auditing service to check the data integrity in the cloud. Some existing remote integrity checking method scan only serve for static records data. Thus, cannot be used in the auditing service since the data in the cloud can be animatedly updated. Thus, an efficient and secure dynamic auditing protocol is required to convince data owners that the data are correctly stored in the cloud. In this paper, we first design an auditing framework for cloud storage systems for privacy-preserving auditing protocol. Then, we extend our auditing protocol to support the data dynamic operations, which is efficient to secure the random model.
Breast Tissue Identification in Digital Mammogram Using Edge Detection Techni...IIRindia
With cloud computing, users can remotely store their data into the cloud and use on-demand high-quality applications. Data outsourcing: users are relieved from the burden of data storage and maintenance When users put their data (of large size) on the cloud, the data integrity protection is challenging enabling public audit for cloud data storage security is important Users can ask an external audit party to check the integrity of their outsourced data. Purpose of developing data security for data possession at un-trusted cloud storage servers we are often limited by the resources at the cloud server as well as at the client. Given that the data sizes are large and are stored at remote servers, accessing the entire file can be expensive in input output costs to the storage server. Also transmitting the file across the network to the client can consume heavy bandwidths. Since growth in storage capacity has far outpaced the growth in data access as well as network bandwidth, accessing and transmitting the entire archive even occasionally greatly limits the scalability of the network resources. Furthermore, the input output to establish the data proof interferes with the on-demand bandwidth of the server used for normal storage and retrieving purpose. The Third Party Auditor is a respective person to manage the remote data in a global manner.
A Noval Method for Data Auditing and Integrity Checking in Public Cloudrahulmonikasharma
Data plays a huge role in today’s era. All business requires to deal with lot of business. So data has to be secured correctly. In this paper we aim to design a system to help to protect the data in the cloud. The public cloud is used in which the users stores the data and the data is secured by using the cryptographic method. Every customer wants to store the data and access or process the data from the cloud, but the major setback is security issues. In this paper we present a novel algorithm which helps the data to be accessed securely from the cloud.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.