An extensive research survey on data integrity and deduplication towards privacy in cloud storage

Owing to the highly distributed nature of the cloud storage system, it is one of the challenging tasks to incorporate a higher degree of security towards the vulnerable data. Apart from various security concerns, data privacy is still one of the unsolved problems in this regards. The prime reason is that existing approaches of data privacy doesn't offer data integrity and secure data deduplication process at the same time, which is highly essential to ensure a higher degree of resistance against all form of dynamic threats over cloud and internet systems. Therefore, data integrity, as well as data deduplication is such associated phenomena which influence data privacy. Therefore, this manuscript discusses the explicit research contribution toward data integrity, data privacy, and data deduplication. The manuscript also contributes towards highlighting the potential open research issues followed by a discussion of the possible future direction of work towards addressing the existing problems

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 Survey on Secure Storage Services in Cloud Computing

Cloud computing is an emerging technology and it is purely based on internet and its environment It provides different services to users such as Software-as-a-Service SaaS PaaS IaaS Storage-as-a-service SaaS Using Storage-as-a-Service users and organizations can store their data remotely which poses new security risks towards the correctness of data in cloud In order to achieve secure cloud storage there exists different techniques such as flexible distributed storage integrity auditing mechanism distributed erasure-coded data Merkle Hash Tree MHT construction etc These techniques support secure and efficient dynamic data storage in the cloud This paper also deals with architectures for security and privacy management in the cloud storage environmen

METHOD TO ACHIEVE SECURITY AND STORAGE SERVICES IN CLOUD COMPUTING

Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users ‘physical possession of their outsourced data, which inevitably poses new security risks toward the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a flexible distributed storage integrity auditing mechanism, utilizing the homomorphism token and distributed erasure-coded data. The proposed design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification of misbehaving server. Considering the cloud data are dynamic in nature, the proposed design further supports secure and efficient dynamic operations on outsourced data, including block modification, deletion, and append. Analysis shows the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks

Efficient And Control Data Procedure Authentication In Cloud Storage

Modern experimental software, for example, "Guaranteed Access to Data" and "Evidence of Inability to Obtain Data" have been implemented to address this problem, but have made it possible to analyze data sets for these reasons insufficient. Users can no longer access the cloud for their data; just how to ensure the integrity of external data becomes an uphill challenge.  Strong supporting data. In addition, the heroes of these programs often become the record holders and always focus on finding a dishonest company based on the cloud even though people also act in a reckless way. This document recommends an open audit plan with strong data support forces and regulatory trials for potential conflicts. Specifically, we design a variables list to remove restrictions on the use of the name in tagging in existing programs and to better facilitate the dynamic handling of data. In order to properly address the issue and ensure that no party is likely to act inappropriately without being noticed, we address the issue of harassment and ensure an exchange of views to formulate appropriate provisions, to ensure that any disputes arise that can be resolved. Security research shows that our strategy is likely to be stable, and a performance analysis shows that there is a wealth of robust data and related legal disputes

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