A scalable attribute-set-based access control with both sharing and full-fledged delegation of access privileges in cloud computing

Ahuja, Rohit; Mohanty, Sraban Kumar; Sakurai, Kouichi

doi:10.1016/j.compeleceng.2016.11.028

Cited by 22 publications

(11 citation statements)

References 9 publications

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“…Thereafter, we compare the performance with fairly standard approaches that are the best suitable schemes for Cloud computational system performance in providing Group signature, User revocation and Data Integrity to its user's. [9,11,27] User revocation 2018 provided better security by the fullysecure scheme processing was more affordable and efficient for mobile devices alone [30,31] 2017 Resistant against cheating and collusion attacks data sharing in the cloud, or secure communication was limited [32] 2016 Improved backward secrecy with efficiency attributes revocation the model seems to be weak or lack of efficiency in user revocation [33,34,35] 2015 the experimental outcome showed low overhead on computation, communication, and storage attribute/user revocation was not achieved effectively [36,37] editor@iaeme.com Data Integrity 2019 comprehensive public auditing scheme proved better performance have some problems for ensuring data integrity and usability [41] 2018 storage auditing scheme was provided the scheme was not conducted real-time environment [21] 2017 Multi scheme stated that supports the integrity verification…”

Section: Comparison and Discussion On The Retrospect Studiesmentioning

confidence: 99%

“…From the findings of reviewed studies particularly from 2018-2015, it was evident that the performance was evaluated based upon Communication cost, Computation cost and effectiveness Group signature [9,11,20,[22][23][24][25][26][27]. Some studies reflected the initial cloud setup and private key generation were numerically analyzed based on three main phases 1) The phase of Authenticator Generation 2) The phase of Auditing and 3) The User Revocation [30][31][32][33][34][35][36][37]. Majority of 2015 studies reported that Cloud and their components environment had specific security services towards attribute/user revocation that was not achieved effectively.…”

Section: Discussion Of Retrospect Studiesmentioning

confidence: 99%

“…AHierarchical Attribute-Set-based Access Control (HASAC) program that supports hierarchical user grants files creation, revocation and file deletion. The implemented HASAC was tested on the basis of its efficiency and the experimental results showed that the HASAC performance was appropriate, even immune to fraud and collusion attacks [32].…”

Section: User Revocationmentioning

confidence: 99%

See 2 more Smart Citations

Challenges and Issues on the Recent Data Integrity Preserving Techniques in the Multiuser Cloud

Ambika¹,

Moses²

2019

IJCET

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Over the decade, the usage of data had increased exponentially, which led to the demand for its effective storage and retrieval. The cloud environment has developed to handle that demand with its huge storage space and easy accessibility. However, the open nature of the cloud resulted in the data integrity issues and multiuser cloud enriched it. The other issues like group signature and user revocation took the central part to ensure integrity of data in the cloud. The present study summarizes various techniques that were developed in recent times to address the security issues on data integrity, user revocation, and group signature. To reflect on the novelty of each approach, along with its performance in providing integrity for the cloud data stands as the primary objective of the study. From the extensive study, it was found that the overhead on the computational and communication overhead increase proportionally with an increase in the number of the user during the group signature generation and recurrent user revocation. There was a need for an effective cryptic mechanism with effective cloud storage and recovery of data. Finally, it was suggested to develop a robust framework that can provide enhanced security with reduced overhead and ensure data integrity.

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Section: Comparison and Discussion On The Retrospect Studiesmentioning

confidence: 99%

Section: Discussion Of Retrospect Studiesmentioning

confidence: 99%

Section: User Revocationmentioning

confidence: 99%

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Challenges and Issues on the Recent Data Integrity Preserving Techniques in the Multiuser Cloud

Ambika¹,

Moses²

2019

IJCET

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“…Theoretically, access control [4] and group key management [5], [6] can be used for key management on file sharing. However, some unique features of cloud storage introduce new problems that have not been fully considered [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Group Key Management Protocol for File Sharing on Cloud Storage

et al. 2020

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The large-scale sharing needs of many enterprises promote the development of cloud storage. While the cloud computing stores the shared files outside the trust domain of the owner, the demands and concerns for file security is arising. In this paper, a Group Key Management Protocol for file sharing on cloud storage (GKMP) is proposed. Faced with network attacks from public channel, a group key generation scheme based on mixed encryption technology is proposed. And a verification scheme is used to prevent shared files from being attacked by the collusion attack of cloud providers' and group members'. Security and performance analyses indicate that the proposed protocol is both secure and efficient for data sharing in cloud computing. INDEX TERMS Cloud storage, group key, file sharing, key distribution.

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“…One is access control [11], in which only authorized user recorded in the access control table has the access privilege of the shared data. The other method is group key management [12]- [16] in which a group key is used to protect the shared data. Although access control makes the data only be accessed by legitimate participants, it cannot protect the attack from cloud providers.…”

Section: Introductionmentioning

confidence: 99%

A Data Sharing Protocol to Minimize Security and Privacy Risks of Cloud Storage in Big Data Era

Han

Zhang

2019

IEEE Access

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A cloud-based big data sharing system utilizes a storage facility from a cloud service provider to share data with legitimate users. In contrast to traditional solutions, cloud provider stores the shared data in the large data centers outside the trust domain of the data owner, which may trigger the problem of data confidentiality. This paper proposes a secret sharing group key management protocol (SSGK) to protect the communication process and shared data from unauthorized access. Different from the prior works, a group key is used to encrypt the shared data and a secret sharing scheme is used to distribute the group key in SSGK. The extensive security and performance analyses indicate that our protocol highly minimizes the security and privacy risks of sharing data in cloud storage and saves about 12% of storage space.INDEX TERMS Big data, security and privacy, cloud storage, data sharing.

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A scalable attribute-set-based access control with both sharing and full-fledged delegation of access privileges in cloud computing

Cited by 22 publications

References 9 publications

Challenges and Issues on the Recent Data Integrity Preserving Techniques in the Multiuser Cloud

Challenges and Issues on the Recent Data Integrity Preserving Techniques in the Multiuser Cloud

Group Key Management Protocol for File Sharing on Cloud Storage

A Data Sharing Protocol to Minimize Security and Privacy Risks of Cloud Storage in Big Data Era

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