Public integrity auditing for shared dynamic cloud data

Singh, Shubham; Thokchom, Surmila

doi:10.1016/j.procs.2017.12.090

Cited by 10 publications

(13 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From Table , we know that our scheme is the only one to accomplish forward security and be proved secure in the standard model. As for the computational cost of authentication tag generation and auditing verification, our scheme has a few advantages over scheme of Wang et al and scheme of Singh et al In terms of communication overhead, our scheme has a small advantages over scheme of Wang et al, while our scheme can support data privacy and forward security in the standard model. To the best of our knowledge, it is the first one that achieves full security, data privacy, and forward security.…”

Section: Performance Evaluationmentioning

confidence: 97%

“…From theoretical analysis, we give the comparison of overall performance for our construction with scheme of Wang et al and scheme of Singh et al in Table , where scheme of Wang et al is a state‐of‐the‐art privacy‐preserving public auditing scheme based on ring signature. From Table , we know that our scheme is the only one to accomplish forward security and be proved secure in the standard model.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…Soon, they presented an efficient privacy‐preserving public auditing scheme based on group signature. Unfortunately, the scheme is shown to be insecure in Yu et al Recently, Shubham et al proposed a novel privacy‐preserving auditing scheme based on vector commitment and ring signature, and Li et al proposed a novel privacy‐preserving auditing scheme based on fuzzy identity . However, they require complex computation cost.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Identity‐and‐data privacy forward security public auditing protocol in the standard model

Zhang

Jiang

2019

Int J Communication

View full text Add to dashboard Cite

Summary To ensure the intactness of the stored data in cloud, numerous data public auditing mechanisms have been presented. However, most of these existing solutions suffer from several flaws: (a) identity privacy and data privacy of data owner are inevitably revealed to the auditor in the auditing process; (b) the existing public auditing mechanisms with resisting key exposure are only proved in the random oracle model. To address the problems above, in this paper, we propose an achieving identity‐and‐data privacy public auditing protocol with forward security in the standard model by incorporating knowledge proof signature, ring signature, and forward security technique. And then, we formalize the security model of forward security and anonymity of identity, in which the adversary is allowed to query private keys of some ring members. It can provide stronger security. Thus, our proposed scheme can not only achieve data owner's identity privacy and data privacy but also provide forward security for data owner's secret key. To the best of our knowledge, it is the first preserving privacy of identity‐and‐data public auditing scheme with forward security that is provably secure in the standard model. The security of the scheme is related to the computational Diffie–Hellman (CDH) problem and the subgroup decision problem. Finally, our scheme is simulatively tested; experimental results demonstrate that our mechanism is very efficient in terms of overall performance.

show abstract

Section: Performance Evaluationmentioning

confidence: 97%

Section: Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identity‐and‐data privacy forward security public auditing protocol in the standard model

Zhang

Jiang

2019

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Future applications of big data and related technologies must maintain the three security goals of confidentiality, integrity, and availability (CIA) [2,3]. Singh and Thokchom [17], as well as Gupta and Shanker [7] have emphasized the importance and role of CIA triad on boosting security of big data and increasing acceptance of big data applications. The researchers discussed some of the commonly used encryption technologies and presented a discourse for a security future.…”

Section: Motivation and Scopementioning

confidence: 99%

A systematic review on the status and progress of homomorphic encryption technologies

Alloghani

Alani

Al‐Jumeily

et al. 2019

Journal of Information Security and Applications

View full text Add to dashboard Cite

With the emergence of big data and the continued growth in cloud computing applications, serious security and privacy concerns emerged. Consequently, several researchers and cybersecurity experts have embarked on a quest to extend data encryption to big data systems and cloud computing applications. As most cloud users turn to using public cloud services, confidentiality becomes and even more complicated issue. Cloud clients storing their data on a public cloud always seek solutions to confidentiality problem. Homomorphic encryption emerged as a possible solution where client's data is encrypted on the cloud in a way that allows some search and manipulation operations without proper decryption. In this paper, we present a systematic review of research paper published in the field of homomorphic encryption. This paper uses PRISMA checklist alongside some items of Cochrane's Quality Assessment to review studies retrieved from various resources. It was highly noticeable in the reviewed papers that security in big data and cloud computing has received most attention. Most papers suggested the use of homomorphic encryption although the thematic analysis has identified other potential concerns. Regarding the quality of the articles, 38% of the articles failed to meet three checklist items, including explicit statement of research objectives, procedure recognition and sources of funding used in the study. The review also presented compendium textual analysis of di erent homomorphic encryption algorithms, application areas, and areas of future developments. Results of the evaluation through PRISMA and the Cochrane tool showed that a majority of research articles discussed the potential use and application of Homomorphic Encryption as a solution to the growing demands of big data and absence of security and privacy mechanisms therein. This was evident from 26 of the total 59 articles that met the inclusion criteria. The term Homomorphic Encryption appeared 1802 times in the word cloud derived from the selected articles, which speaks of its potential to ensure security and privacy, while also preserving the CIA triad in the context of big data and cloud computing.

show abstract

“…It is a possibility that sometimes, the cloud service providers may discard or alter the data without saving in the storage space or keeping backups or replicas. It is also possible that cloud service providers may hide any accidental data loss and claim that the clients' data are still stored in the cloud storage [11][12][13][14]. As a result, data integrity verification at untrusted servers remains as one of the biggest concerns with cloud data storage [15].…”

Section: Introductionmentioning

confidence: 99%

Integrity verification for an optimized cloud architecture

Ahmed¹,

Alam²

2020

TELKOMNIKA

View full text Add to dashboard Cite

Cloud computing has significantly benefited today's environment of IT industry through its mobility, sustainability, security, cost savings and several other important features. The risk of data loss on cloud in case of dealing with hardware and software is relatively small. However, the issue of data security becomes imminent when we are storing personal data on the cloud which is not transparent to users. In this paper, we introduce a new entity in terms of a virtual machine that provides services and assurance beyond service level agreement (SLA). In the proposed model, a role of data handling and security is assured with association of third party auditor (TPA) by the virtual machine. We further demonstrate the applied technique for encryption, decryption and integrity verification modules. We also upgrade the entropy of the advanced encryption standard (AES) with a variant of secret sharing scheme in the environment of cloud simulator. This is an open access article under the CC BY-SA license.

show abstract

Public integrity auditing for shared dynamic cloud data

Cited by 10 publications

References 18 publications

Identity‐and‐data privacy forward security public auditing protocol in the standard model

Identity‐and‐data privacy forward security public auditing protocol in the standard model

A systematic review on the status and progress of homomorphic encryption technologies

Integrity verification for an optimized cloud architecture

Contact Info

Product

Resources

About