Review On Preserving Privacy Identity Of Shared Data In Cloud

Cloud computing contains groups of remote servers and software networks that involve in allowing storage of data and accessing of online computer resources. Cloud contains data storage to the huge amount of data. Cloud user should be concerned with the correctness and protection of data. When user outsources remote data from storage of data as a cloud, There are Several auditing mechanism to verify the Integrity of Data. Public auditing mechanism enables the user to verify integrity of data with the help of Third Party Auditor (TPA). Public auditing mechanism start auditing task by not downloading whole file. This helps in Preserving privacy of Data. Public auditing will won’t reveal identity of any user. In the paper contains various privacy preserving public auditing mechanism. It also shows comparative study among them. DOI: 10.17762/ijritcc2321-8169.15031

Secure Dynamic Groups Auditing Service with Group Signature for Cloud Storage

Cloud storage has become a commonplace of storing and sharing data across multiple users. It is a challenge to preserve confidentiality and maintain identity privacy while sharing data within multiple dynamic groups, due to frequent change in the membership. Also, maintaining data integrity is an issue as data is stored and audited by untrusted cloud service provider (CSP). In this paper, we propose, third party auditor (TPA) auditing scheme to maintain data integrity and enabling TPA to perform audits for multiple users efficiently and simultaneously. By exploiting group signature scheme any member can anonymously share data within the group. The efficiency and the computation cost of the proposed system are independent with the number of users revoked and the data stored on the cloud. DOI: 10.17762/ijritcc2321-8169.150612

Elliptic Curve Cryptography Digital Signature Algorithm For Privacy-Preserving Public Auditing For Shared Data In The Cloud

Cloud computing becomes one of the emerging technology on now a days to share and manage their data in organization , because of its forcefulness, small communication cost and everywhere environment. Privacy preservation concern in the cloud computing becomes arise several security challenges since information stored in the cloud data is easily outsourced anywhere at any time. To manage this privacy preservation in cloud computing several number of the mechanism have been proposed in earlier work to permit both data owners and public verifiers toward proficiently audit cloud information integrity without leakage information from cloud server. But major issue of the existing works becomes these methods is that unavoidably disclose secret data to free verifiers. In order to overcome this problem in this paper presents novel privacy-preserving elliptic curve digital signature cryptography methods data integrity with the purpose to maintain public auditing on shared information stored which is stored in the cloud computing database. In the proposed methods digital signature are created to each data owner in the cloud computing environment and attain data integrity confirmation for shared information between one cloud data owner to third party auditor. In our proposed data integrity Elliptic Curve Cryptography Digital Signature Algorithm, the individuality of the signer on every one chunk in shared information is reserved privately secure manner by creation elliptic curve based private key from public verifiers. Further improve accuracy of the privacy preservation for shared information in the cloud computing proposed ECCDSA perform manifold auditing tasks parallel. The experimentation results of the proposed ECCDSA based multiple data auditing task shows that higher efficiency and higher data integrity while performing auditing task, it can be compared with existing public auditing methods. DOI: 10.17762/ijritcc2321-8169.150313

A Survey: Secure Data Storage Techniques in Cloud Computing

Cloud computing is an era of research where we are looking for a fast and efficient computing solution with dynamic data. Cloud computing provide us a service which is use and pay on demand services, thus the user can have multiple options for data processing system. Many of the techniques to store data using security algorithm have been applied on cloud computing, but still the issue is its giving slow speed compare to server technique. Thus, a secure encryption technique with low computation and early scheme is always required. In this paper, we utilize and uniquely combine the Optimized blowfish homomorphism encryption with SHA-2 for key generation to make encryption more authentic. The proposed solution mentioned by us can give enhancement in security aspects as well as it compute fast data processing

A comprehensive meta-analysis of cryptographic security mechanisms for cloud computing

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The concept of cloud computing offers measurable computational or information resources as a service over the Internet. The major motivation behind the cloud setup is economic benefits, because it assures the reduction in expenditure for operational and infrastructural purposes. To transform it into a reality there are some impediments and hurdles which are required to be tackled, most profound of which are security, privacy and reliability issues. As the user data is revealed to the cloud, it departs the protection-sphere of the data owner. However, this brings partly new security and privacy concerns. This work focuses on these issues related to various cloud services and deployment models by spotlighting their major challenges. While the classical cryptography is an ancient discipline, modern cryptography, which has been mostly developed in the last few decades, is the subject of study which needs to be implemented so as to ensure strong security and privacy mechanisms in today’s real-world scenarios. The technological solutions, short and long term research goals of the cloud security will be described and addressed using various classical cryptographic mechanisms as well as modern ones. This work explores the new directions in cloud computing security, while highlighting the correct selection of these fundamental technologies from cryptographic point of view

Light-Weight Accountable Privacy Preserving Protocol in Cloud Computing Based on a Third-Party Auditor

Cloud computing is emerging as the next disruptive utility paradigm [1]. It provides extensive storage capabilities and an environment for application developers through virtual machines. It is also the home of software and databases that are accessible, on-demand. Cloud computing has drastically transformed the way organizations, and individual consumers access and interact with Information Technology. Despite significant advancements in this technology, concerns about security are holding back businesses from fully adopting this promising information technology trend. Third-party auditors (TPAs) are becoming more common in cloud computing implementations. Hence, involving auditors comes with its issues such as trust and processing overhead. To achieve productive auditing, we need to (1) accomplish efficient auditing without requesting the data location or introducing processing overhead to the cloud client; (2) avoid introducing new security vulnerabilities during the auditing process. There are various security models for safeguarding the CCs (Cloud Client) data in the cloud. The TPA systematically examines the evidence of compliance with established security criteria in the connection between the CC and the Cloud Service Provider (CSP). The CSP provides the clients with cloud storage, access to a database coupled with services. Many security models have been elaborated to make the TPA more reliable so that the clients can trust the third-party auditor with their data. Our study shows that involving a TPA might come with its shortcomings, such as trust concerns, extra overhead, security, and data manipulation breaches; as well as additional processing, which leads to the conclusion that a lightweight and secure protocol is paramount to the solution. As defined in [2] privacy-preserving is making sure that the three cloud stakeholders are not involved in any malicious activities coming from insiders at the CSP level, making sure to remediate to TPA vulnerabilities and that the CC is not deceitfully affecting other clients. In our survey phase, we have put into perspective the privacy-preserving solutions as they fit the lightweight requirements in terms of processing and communication costs, ending up by choosing the most prominent ones to compare with them our simulation results. In this dissertation, we introduce a novel method that can detect a dishonest TPA: The Light-weight Accountable Privacy-Preserving (LAPP) Protocol. The lightweight characteristic has been proven simulations as the minor impact of our protocol in terms of processing and communication costs. This protocol determines the malicious behavior of the TPA. To validate our proposed protocol’s effectiveness, we have conducted simulation experiments by using the GreenCloud simulator. Based on our simulation results, we confirm that our proposed model provides better outcomes as compared to the other known contending methods