137 research outputs found
ACTIVE-HASH-TABLE BASED PUBLIC AUDITING FOR SECURE CLOUD STORAGE
Public auditing scheme for secure cloud storage based on dynamic hash table, which is a new two-dimensional data structure located at a third-party auditor (TPA) to record the data property information for dynamic auditing. Differing form the existing works, the proposed scheme migrates the authorized information from the cloud services provider to the TPA and thereby significantly reduces the computational cost and communication overhead. Our scheme can also achieve higher updating efficiency than the state of the art schemes. In addition, we extend our scheme to support privacy preservation by combining the homomorphic authenticator based on the public key with the random masking generated by the TPA and achieve batch auditing by employing the aggregate BLS signature technique. We formally prove the security of the proposed scheme and evaluate the auditing performance by detailed experiments and comparisons with the existing ones. The results demonstrate that the proposed scheme can effectively achieve secure auditing for cloud storage and outperform the previous schemes’ in computation complexity, storage costs, and communication overhead
A Comprehensive Survey on Data Integrity Proving Schemes in Cloud Storage
Cloud computing requires broad security solutions based upon many aspects of a large and lightly integrated system. The cloud data storage service releases the users from the burden of huge local data storage and their preservation by out- sourcing mass data to the cloud. However, the fact that users no longer have physical possession of the possibly large size of outsourced data makes the data integrity protection in Cloud Computing a very challenging and potentially formidable task, especially for users with constrained computing resources and capabilities. One of the significant concerns that need to be spoken is to assure the customer of the integrity i.e. rightness of his data in the cloud. The data integrity verification is done by introducing third party auditor (TPA) who has privileges to check the integrity of dynamic data in cloud on behalf of cloud client. Cloud client can get notification from TPA when the data integrity is lost. These systems have sustenance data dynamics via the data operation such as data modification, insertion, deletion. Many work has been done but it lacks the support of either public auditability or active data processes To securely introduce an effective third party auditor (TPA), the following two fundamental requirements have to be met: (i) TPA should be able to efficiently audit the cloud data storage without demanding the local copy of data, and introduce no additional on-line burden to the cloud user; (ii) The third party auditing process should bring in no new vulnerabilities towards user data privacy. Here, a proposed scheme is discussed in which gives a proof of data integrity in the cloud which the customer can employ to check the correctness of his data in the cloud. This proof can be agreed upon by both the cloud and the customer and can be incorporated in the Service level agreement (SLA). This scheme ensures that the storage at the client side is minimal which will be beneficial for the organization. In this paper, we define a survey on Cloud computing and provide the architecture for creating C
Cloud Data Auditing Using Proofs of Retrievability
Cloud servers offer data outsourcing facility to their clients. A client
outsources her data without having any copy at her end. Therefore, she needs a
guarantee that her data are not modified by the server which may be malicious.
Data auditing is performed on the outsourced data to resolve this issue.
Moreover, the client may want all her data to be stored untampered. In this
chapter, we describe proofs of retrievability (POR) that convince the client
about the integrity of all her data.Comment: A version has been published as a book chapter in Guide to Security
Assurance for Cloud Computing (Springer International Publishing Switzerland
2015
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
Remote Data Auditing in a Cloud Computing Environment
In the current paradigms of information technology, cloud computing is the most essential kind of computer service. It satisfies the need for high-volume customers, flexible computing capabilities for a range of applications like as database archiving and business analytics, and the requirement for extra computer resources to provide a financial value for cloud providers. The purpose of this investigation is to assess the viability of doing data audits remotely inside a cloud computing setting. There includes discussion of the theory behind cloud computing and distributed storage systems, as well as the method of remote data auditing. In this research, it is mentioned to safeguard the data that is outsourced and stored in cloud servers. There are four different techniques of remote data auditing procedures that are presented here for distributed cloud services. There are several difficulties associated with data audit methods; however, these difficulties may be overcome by using a variety of techniques, such as the Boneh-Lynn-Shacham signature or the automated blocker protocol. In addition to that, other difficulties associated with distributed-based remote data auditing solutions are discussed. In addition, a variety of approaches might be researched further for further examination in order to find answers to these impending problems
Efficient Method Based on Blockchain Ensuring Data Integrity Auditing with Deduplication in Cloud
With the rapid development of cloud storage, more and more cloud clients can store and access their data anytime, from anywhere and using any device. Data deduplication may be considered an excellent choice to ensure data storage efficiency. Although cloud technology offers many advantages for storage service, it also introduces security challenges, especially with regards to data integrity, which is one of the most critical elements in any system. A data owner should thus enable data integrity auditing mechanisms. Much research has recently been undertaken to deal with these issues. In this paper, we propose a novel blockchain-based method, which can preserve cloud data integrity checking with data deduplication. In our method, a mediator performs data deduplication on the client side, which permits a reduction in the amount of outsourced data and a decrease in the computation time and the bandwidth used between the enterprise and the cloud service provider. This method supports private and public auditability. Our method also ensures the confidentiality of a client's data against auditors during the auditing process
Privacy Preserving Public Auditing and Data Integrity for Secure Cloud Storage Using Third Party Auditor
Using cloud services, anyone can remotely store their data and can have the on-demand high quality applications and services from a shared pool of computing resources, without the burden of local data storage and maintenance. Cloud is a commonplace for storing data as well as sharing of that data. However, preserving the privacy and maintaining integrity of data during public auditing remains to be an open challenge. In this paper, we introducing a third party auditor (TPA), which will keep track of all the files along with their integrity. The task of TPA is to verify the data, so that the user will be worry-free. Verification of data is done on the aggregate authenticators sent by the user and Cloud Service Provider (CSP). For this, we propose a secure cloud storage system which supports privacy-preserving public auditing and blockless data verification over the cloud
Data Auditing and Security in Cloud Computing: Issues, Challenges and Future Directions
Cloud computing is one of the significant development that utilizes progressive computational power and upgrades data distribution and data storing facilities. With cloud information services, it is essential for information to be saved in the cloud and also distributed across numerous customers. Cloud information repository is involved with issues of information integrity, data security and information access by unapproved users. Hence, an autonomous reviewing and auditing facility is necessary to guarantee that the information is effectively accommodated and used in the cloud. In this paper, a comprehensive survey on the state-of-art techniques in data auditing and security are discussed. Challenging problems in information repository auditing and security are presented. Finally, directions for future research in data auditing and security have been discussed
Data auditing and security in cloud computing: issues, challenges and future directions
Cloud computing is one of the significant development that utilizes progressive computational power and
upgrades data distribution and data storing facilities. With cloud information services, it is essential for
information to be saved in the cloud and also distributed across numerous customers. Cloud information
repository is involved with issues of information integrity, data security and information access by unapproved
users. Hence, an autonomous reviewing and auditing facility is necessary to guarantee that the information is
effectively accommodated and used in the cloud. In this paper, a comprehensive survey on the state-of-art
techniques in data auditing and security are discussed. Challenging problems in information repository auditing
and security are presented. Finally, directions for future research in data auditing and security have been
discusse
Improved Third Party Auditing Approach For Shared Data In The Cloud With Efficient Revocation of User
Verify the integrity of the shared information publically, users within the cluster to ensure that shared information all got to figure out the signatures on blocks. Sharing information by different users in different blocks of information typically changes entirely by individual users are signed. Once a user has canceled the cluster, for security reasons, blocks that antecedently the revoked by signed by associate an existing user must sign in nursing again. The Direct transfer of information sharing that same methodology, half and this user to sign in again over the cancellation of existing user in nursing associate permits, mostly due to the size of share data within is disabled. Over the course of this paper, we share information with the user in mind affordable revocation is a completely unique integrity of public auditing mechanisms to propose is a trend. Proxy re-signature thought of using signatures we didn’t order that transfer existing user and blocks by themselves again to sign on behalf of the current cloud blocks users. User to sign in again over are knowledge with the rest of the latest version of the cluster is the cancellation, to allow for a trend. In addition, a public vouchers are often part of the shared although some information has been signed by the cloud while cannot share to retrieve information from the cloud, complete information to audit the integrity of is ready. In addition, our systems at the same time by multiple auditing functions to support verification, auditing is in batch. Experimental results show that our system fairly can improve the efficiency of user cancellation.
DOI: 10.17762/ijritcc2321-8169.15073
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