Data Integrity Proofs in Cloud Storage

International Journal of Innovative Research in Computer and Communication Engineering, 2016

Cloud computing platform provides global sharing and accessing of resources. Cloud offers data storage and sharing facilities that provides better scalability. Apart from the advantages offered by Cloud, it also finds difficulties in maintaining the integrity and security for the shared data. Public auditing is a mechanism by which the integrity of data could be maintained so that the correctness of data could be verified thereafter. Even if the system could assure data correctness, there may be chances of some security threats. Security must be established for the data shared and one who shares it. So, for that a new form of signing method is to be developed for sharing the data to Cloud, which could verify whether the data is shared by an authenticated user or not. In this paper, we discuss about a system that helps to verify the integrity of data and also to make sure that, signatures are made by an authenticated signer.

International Journal of Computer Applications, 2017

Cloud computing is the process and adoption of existing technologies and paradigms. The aim of cloud processing is to allow users to take benefit from all of these solutions, without the need for deep information about or competence with each of them. This new era of information storage service also introduces new security issues, because data is organized on third party which might not exactly be trust deserving always. Data integrity is main security concern. Information integrity is the preservation of, and the guarantee of the accuracy and consistency of, data over its entire life-cycle. This kind of survey paper elaborates different protocols that verify remote control data accuracy. These protocols have been proposed a model for ensuring the long-term security and availability of data stored at remote untrusted hosts.

Cloud computing is popular ,and adopted because there is many security and privacy. A issue found in cloud storage is, when client out-source data to the cloud storage, the clients don't know that their data is damaged or not. Also the computational burden is too high. To tackle the issue, OPoR, another distributed storage method including a distributed storage server (DSS) and a TPA is proposed here. TPA is thought to be semi-legitimate. Specifically, we consider the assignment of permitting the TPA for the cloud clients, to pre-process the information before transferring to the DSS and later confirming the information quality. OPoR outsources the overwhelming calculation of the label era to the cloud review server and takes out the contribution of client in the examining and in the pre-processing stages. Besides, we secure the Proof of Retrievability(PoR) model to support information integrity, and in addition assurance security against reset assault dispatched by the DSS in the transfer stage.

It has been widely observed that the concept of cloud computing is become one of major theory in the world of IT industry. It involves storing the user's data to be able to use the applications and services that the clouds introduce. There is a significant numbers of risks can be occurred. One of these risks that can attack the cloud computing is the integrity of the data stored in the cloud [2]. In order to overcome the threat of integrity of the data, the user must be able to use the assistance of a Third Party Auditor (TPA). The TPA has an experience that clouds users does not have, and checks over the integrity that is difficult for the users to check. The user can handout the integrity checking mission to the TPA, in such a way that the TPA will not be able to manipulate with the client data with one way or another [5]. In this paper, we will introduce a model for the integrity checking over the cloud computing with the support of the TPA using digital signature technique. The proposed model result was shown efficiently with a number of situations that performed by unauthorized attackers. The checking done over two parts the CSP and TPA, without giving any secure data that void the integrity definition and without uploading any secure data to the cloud.

Cloud Computing refers to the many different types of services and applications being delivered in the internet cloud, and the fact that, in many cases, the devices used to access these services and applications do not require any special applications. Cloud Computing has been 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 brings the problem of ensuring the integrity of data storage in Cloud. Cloud computing share distributed resources via network in the open environment thus it makes security problem. 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 the client through the auditing of whether his data stored in the cloud are 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 auditability 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 the seamless integration of these two salient features in our protocol design. In particular, to achieve efficient data dynamics, we improve the existing proof of storage models by manipulating the classic Merkle Hash Tree construction for block tag authentication.

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 applications for user in cloud. Storing our data in cloud may not be fully trustworthy. Since client doesn't 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 scheme 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 operations on data blocks, including data insertion, update, delete and replacement. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colliding attacks.

Computer Security–ESORICS …, 2009

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 [1] 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.

shows that the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks.

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. The management of the deployed applications can also bring three major challenges as network feasibility, computational feasibility and data security. After the application is pushed to the cloud infrastructure, the additional persuasion of security auditing must be integrated in order to protect the data. Various research attempts are made towards enabling the auditing features on the cloud based data by various researchers. Nevertheless, the complexity of the audit process proven to be the bottleneck in improving performance of the application as it consumes the computational resources of the same application. The proposed framework demonstrates a significant reduction in the computational load on the cloud se...

2016

Identity-Based Provable data possession (PDP) is a technique for ensuring the integrity of data in storage outsourcing construction of an efficient scheme for distributed cloud storage to support the scalability of service and data migration, in which of multiple cloud service providers to cooperatively store and maintain the clients’ data. Cloud computing has become an important thing in computer field. Cloud computing takes information processing as a service, such as storage and computing. Data integrity is important thing in cloud storage. In certain situations, clients should store their data such as image or text in multi cloud. When the client stores his/her data on multicloud servers, the distributed storage and integrity checking is very important. Here we propose an Identity Based Distributed Provable Data Possession (ID-DPDP) protocol for multi-cloud storage. Remote data integrity checking is important in cloud storage. It can make the clients verify whether their data is...