A Remote Data Integrity Verification Scheme Based on Cloud Computing

2014 ◽  
Vol 644-650 ◽  
pp. 1923-1926
Author(s):  
Shao Min Zhang ◽  
Yan Chao Xu ◽  
Bao Yi Wang ◽  
Jin Xiao ◽  
Rui Niu
Keyword(s):  
Hash Table ◽  
Data Integrity ◽  
Verification Scheme ◽  
The Public ◽  
Integrity Verification ◽  
Storage Overhead ◽  
Integrity Protection ◽  
And Performance ◽  
And Storage ◽  
Remote Data

Aiming at solving data integrity protection problems in the cloud , a remote data integrity verification scheme is proposed. Firstly, the data integrity verification is constructed based on homomorphic identification and data fragment structure. Secondly, by introducing random mask, the public verification is realized and by building index-hash table (IHT), the scheme can support dynamic verification. Finally, use the MapReduce for parallel computing, which reduces computation overhead side and storage overhead. The security and performance analyses show that our proposed scheme is secure and reliable.

A New Delegation Provable Data Possession in Public Cloud Storage

2014 ◽  
Vol 644-650 ◽  
pp. 2239-2244
Author(s):  
Bin Li ◽  
Chen Lei Cao ◽  
Jian Yi Liu ◽  
Jin Xia Wei
Keyword(s):  
Performance Analysis ◽  
Cloud Storage ◽  
Security Analysis ◽  
Data Integrity ◽  
Public Cloud ◽  
Provable Data Possession ◽  
Integrity Verification ◽  
And Performance ◽  
Remote Data

Though Cloud storage has developed rapidly in recent years, there still exist some problems obviously. Provable Data Possession (PDP) is proposed to solve the problem of data integrity verification at untrusted cloud stores. This study built a new delegation Provable Data Possession (delegation-PDP), which solves problem when the client has no ability to check its remote data. We study the delegation-PDP and use proxy re-encryption to design it. Then we use the improved Elgamal-based algorithm to implement the scheme. Through security analysis and performance analysis, our protocol is provable secure and efficient.

scholarly journals Efficient data possession–checking protocol with deduplication in cloud

2017 ◽  
Vol 13 (8) ◽  
pp. 155014771772746
Author(s):  
Jinxia Wei ◽  
Xinxin Niu ◽  
Ru Zhang ◽  
Jianyi Liu ◽  
Yuangang Yao
Keyword(s):  
Data Integrity ◽  
Data Block ◽  
Verification Scheme ◽  
Integrity Verification ◽  
Computational Costs ◽  
Real Application ◽  
Storage Overhead ◽  
Cloud Server ◽  
Efficient Data ◽  
Cloud Users

Deduplication has been widely applied to save storage overhead in the cloud server. Data integrity verification with deduplication can not only save space of the cloud server but also ensure security of the stored data. In the existing integrity verification scheme, deduplications are implemented by the cloud server. The signatures of all data blocks are generated and sent to the cloud server. Once receiving the data blocks and signatures, the cloud server compares the received signatures with the stored signatures. If there is a signature that has the same value as some stored signature, the received signature and data block will not be stored by the cloud server. Otherwise, the cloud server stores all received signatures and data blocks. In fact, these operations bring a lot of computational costs. To solve this problem, we propose a data integrity verification scheme with deduplication. In this scheme, the deduplication is performed by the cloud users, which can avoid additional communicational and computational costs. The experiment evaluation indicates that our scheme is practical for real application scenario. We demonstrate that the proposed scheme satisfies signature unforgeability, and the malicious users cannot obtain any legitimate file from the cloud server in the form of deception.

scholarly journals Remote Data Possession Checking Scheme with Supporting Efficient Group User Authority Management for Shared Cloud Data

2021 ◽  
Author(s):  
Yilin Yuan ◽  
Jianbiao Zhang ◽  
Wanshan Xu ◽  
Xiao Wang ◽  
Yanhui Liu
Keyword(s):  
Security Analysis ◽  
Public Auditing ◽  
Cloud Data ◽  
The Public ◽  
Shared Data ◽  
Identity Based ◽  
And Performance ◽  
Data Auditing ◽  
Data Checking ◽  
Remote Data

Abstract Under the shared big data environment, most of the existing data auditing schemes rarely consider the authorization management of group users. Meanwhile, how to deal with the shared data integrity is a problem that needs to be pondered. Thus, in this paper, we propose a novel remote data checking possession scheme which achieves group authority management while completing the public auditing. To perform authority management work, we introduce a trusted entity – group manager. We formalize a new algebraic structure operator named authorization invisible authenticator (AIA). Meanwhile, we provide two versions of AIA scheme: basic AIA scheme and standard AIA scheme. The standard AIA scheme is constructed based on the basic AIA scheme and user information table (UIT), with advanced security and wider applicable scenarios. By virtue of standard AIA scheme, the group manager can perfectly and easily carry out authority management, including enrolling, revoking, updating. On the basis of the above, we further design a public auditing scheme for non-revoked users’ shared data. The scheme is based on identity-based encryption (IBE), which greatly reduce the necessary certificate management cost. Furthermore, the detailed security analysis and performance evaluation demonstrate that the scheme is safe and feasible.

scholarly journals Hierarchical remote data possession checking method based on massive cloud files

2016 ◽  
Vol 11 (2) ◽  
pp. 126-134
Author(s):  
Ma Haifeng ◽  
Gao Zhenguo ◽  
Yao Nianmin
Keyword(s):  
Cloud Storage ◽  
False Negative ◽  
False Negative Rate ◽  
Data Integrity ◽  
Communication Overhead ◽  
Local Data ◽  
Cloud Data ◽  
Cloud Storage Service ◽  
Integrity Protection ◽  
Remote Data

Cloud storage service enables users to migrate their data and applications to the cloud, which saves the local data maintenance and brings great convenience to the users. But in cloud storage, the storage servers may not be fully trustworthy. How to verify the integrity of cloud data with lower overhead for users has become an increasingly concerned problem. Many remote data integrity protection methods have been proposed, but these methods authenticated cloud files one by one when verifying multiple files. Therefore, the computation and communication overhead are still high. Aiming at this problem, a hierarchical remote data possession checking (hierarchical-remote data possession checking (H-RDPC)) method is proposed, which can provide efficient and secure remote data integrity protection and can support dynamic data operations. This paper gives the algorithm descriptions, security, and false negative rate analysis of H-RDPC. The security analysis and experimental performance evaluation results show that the proposed H-RDPC is efficient and reliable in verifying massive cloud files, and it has 32–81% improvement in performance compared with RDPC.

Implementation of Fuzzy Based Simulation for Clone Detection in Wireless Sensor Networks

2016 ◽  
Vol 6 (4) ◽  
pp. 1570
Author(s):  
Manjunatha R C ◽  
Rekha K R ◽  
Nataraj K R
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Clone Detection ◽  
Storage Overhead ◽  
And Performance ◽  
And Storage ◽  
Compromised Nodes

<p>Wireless sensor networks are usually left unattended and serve hostile environment, therefore can easily be compromised. With compromised nodes an attacker can conduct several inside and outside attacks. Node replication attack is one of them which can cause severe damage to wireless sensor network if left undetected. This paper presents fuzzy based simulation framework for detection and revocation of compromised nodes in wireless sensor network. Our proposed scheme uses PDR statistics and neighbor reports to determine the probability of a cluster being compromised. Nodes in compromised cluster are then revoked and software attestation is performed.Simulation is carried out on MATLAB 2010a and performance of proposed scheme is compared with conventional algorithms on the basis of communication and storage overhead. Simulation results show that proposed scheme require less communication and storage overhead than conventional algorithms.</p>

Implementation of Fuzzy Based Simulation for Clone Detection in Wireless Sensor Networks

2016 ◽  
Vol 6 (4) ◽  
pp. 1570
Author(s):  
Manjunatha R C ◽  
Rekha K R ◽  
Nataraj K R
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Clone Detection ◽  
Storage Overhead ◽  
And Performance ◽  
And Storage ◽  
Compromised Nodes

<p>Wireless sensor networks are usually left unattended and serve hostile environment, therefore can easily be compromised. With compromised nodes an attacker can conduct several inside and outside attacks. Node replication attack is one of them which can cause severe damage to wireless sensor network if left undetected. This paper presents fuzzy based simulation framework for detection and revocation of compromised nodes in wireless sensor network. Our proposed scheme uses PDR statistics and neighbor reports to determine the probability of a cluster being compromised. Nodes in compromised cluster are then revoked and software attestation is performed.Simulation is carried out on MATLAB 2010a and performance of proposed scheme is compared with conventional algorithms on the basis of communication and storage overhead. Simulation results show that proposed scheme require less communication and storage overhead than conventional algorithms.</p>

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