Double Encryption Based Auditing Protocol Using Dynamic Operation in Cloud Storage

Using Cloud Storage, users can tenuously store their data and enjoy the on-demand great quality applications and facilities from a shared pool of configurable computing resources, without the problem of local data storage and maintenance. However, the fact that users no longer have physical possession of the outsourced data makes the data integrity protection in Cloud Computing a formidable task, especially for users with constrained dividing resources. From users? perspective, including both individuals and IT systems, storing data remotely into the cloud in a flexible on-demand manner brings tempting benefits: relief of the burden for storage management, universal data access with independent geographical locations, and avoidance of capital expenditure on hardware, software, and personnel maintenances, etc. . To securely introduce an effective third party auditor (TPA), the following two fundamental requirements have to be met: 1) TPA should be able to capably audit the cloud data storage without demanding the local copy of data, and introduce no additional on-line burden to the cloud user; 2) The third party auditing process should take in no new vulnerabilities towards user data privacy. In this project, utilize and uniquely combine the public auditing protocols with double encryption approach to achieve the privacy-preserving public cloud data auditing system, which meets all integrity checking without any leakage of data. To support efficient handling of multiple auditing tasks, we further explore the technique of online signature to extend our main result into a multi-user setting, where TPA can perform multiple auditing tasks simultaneously. We can implement double encryption algorithm encrypt the data twice and stored cloud server

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

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