Remote Data Integrity Checking in Cloud Computing

Cloud computing is an internet based computing which enables sharing of services. It is very challenging part to keep safely all required data that are needed in many applica f or user in cloud. Storing our data in cloud may not be fully trustworthy. Since client doesnt have copy of all stored data, he has to depend on Cloud Service Provider. This work studies the problem of ensuring the integrity and security of data storage in Cloud Computing. This paper, proposes an effective and flexible Batch Audit sche me with dynamic data support to reduce the computation overheads. To ensure the correctness of users data the task of allowing a third party auditor (TPA), on behalf of the cloud client, to verify the integrity of the data stored in the cloud. We consider symmetric encryption for effective utilization of outsourced cloud data under the model, it achieve the storage security in multi cloud data storage. The new scheme further supports secure and efficient dynamic operation sondata blocks, including data i nserti on, update,delete and replacement. Extensive securityand performance analysis shows that the proposed sche me is highlyef ficient and resilient again st By zantinef ailure, maliciousd a ta modification at tack, and even server colliding a ttacks

Enabling Public Verifiability and Data Dynamics for Storage Security

Cloud Computing has been envisioned as the next-generation architecture of IT Enterprise. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges, which have not been well understood. This work studies the problem of ensuring the integrity of data storage in Cloud Computing. In particular, we consider the task of allowing a third party auditor (TPA), on behalf of the cloud client, to verify the integrity of the dynamic data stored in the cloud. The introduction of TPA eliminates the involvement of client through the auditing of whether his data stored in the cloud is indeed intact, which can be important in achieving economies of scale for Cloud Computing. The support for data dynamics via the most general forms of data operation, such as block modification, insertion and deletion, is also a significant step toward practicality, since services in Cloud Computing are not limited to archive or backup data only. While prior works on ensuring remote data integrity often lacks the support of either public verifiability or dynamic data operations, this paper achieves both. We first identify the difficulties and potential security problems of direct extensions with fully dynamic data updates from prior works and then show how to construct an elegant verification scheme for seamless integration of these two salient features in our protocol design. In particular, to achieve efficient data dynamics, we improve the Proof of Retrievability model \cite{Shacham:ASIACRYPT:2008} by manipulating the classic Merkle Hash Tree (MHT) construction for block tag authentication. Extensive security and performance analysis show that the proposed scheme is highly efficient and provably secure

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

Multiple TPA for Extensive Reliability and Security in Cloud Storage

This paper focuses on the security and integrity of data hold on cloud data servers. The data integrity verification is finished by employing a third party auditor who is authorized to check integrity of data sporadically on behalf of client. The way application software and databases are stored has been modified. Currently they are stored in cloud data centers in which security is an apprehension from client point of view. The new development which is used to store and manage data without principal investment has brought many security challenges which are not thoroughly understood. Customer data from third party auditor notices of when data integrity is lost. The proposed system not only supports data integrity verification but also supports data mobility. Prior work has been done in this online data mobility and there is lack of true public auditability. Auditor task is to monitor data modifications like insert and remove. The proposed system is able to support both public auditability and data mobility. Problems with existing systems literature review has revealed that the motivation behind this work take up. Merkle hash tree block-level authentication is used to improve. Auditing functions to handle together Bilinear transform overall signature is used. The TPA for multiple clients concurrently enables audit. So here we evaluate the TPA based multi-user system. Experiments show that the proposed system is also very efficient and safe. For proposed work we are using multiple TPA's and multiple clients. DOI: 10.17762/ijritcc2321-8169.160412

A Study On Secure Data Storage In Public Clouds

This paper focuses on the study of various existing cloud storage mechanisms with their related security frameworks for realizing the efficient cloud storage in a secured environment. The key feature for the growing popularity of cloud computing relies on the efficient management of stored data in a highly secure way for remote accessing. Ensuring the integrity and availability of user’s data stored in the cloud has always been an important aspect for its quality of service. While storing data in cloud, lots of issues with respect to security are being cropping out as clients have no direct physical control over their outsourced data. In addition, their vulnerabilities to external threats are increasing as cloud provides storage and accessing services via world-wide domain networking. This study will help in identifying different performance measures for secure available of data in cloud storage mechanisms