Fine Grained Access Control and Revocation for Secure Cloud Environment – A Polynomial Based Approach

Mohan, Lija; Elayidom, M. Sudheep

doi:10.1016/j.procs.2015.02.133

Cited by 4 publications

(4 citation statements)

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“…It ensured the secure sharing of resources, providing diverse access control to the same cloud user, and gave user the capability to utilize various services securely. Te researchers suggested diferent types of access control models for the cloud computing environments [34]. To address the vulnerability in data privacy of cloud users in cloud computing environment, a fne-grained access control mechanism using cryptography was proposed.…”

Section: Access Control In Cloudmentioning

confidence: 99%

Adaptive Access Control Mechanism (AACM) for Enterprise Cloud Computing

Kaur

Verma

2023

Journal of Electrical and Computer Engineering

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Enterprise cloud computing provides various services to enterprises, but access to these services is controlled by a firewall. The firewall determines the actions and operations a legitimate user can perform on the available resources. Access control policies allow or restrict access to resources, and they also keep a record of attempted access. In the role-based access control model, access to resources is based on a user’s role in the enterprise. As resources are limited, the policy manager has to create policies that optimize resource availability to different roles to improve overall resource utilization. However, this optimization is challenging without prior knowledge of user behaviour and resource requirements for each role. Due to insufficient knowledge, some resources may be available to the wrong roles, while others may be required by other roles but are inaccessible. This results in decreased resource utilization, requiring the redefinition of access control policies with optimal resource availability. The optimal allocation of resources can be achieved by analyzing user behaviour under different roles. The study proposes a novel method for access control that utilizes role profiling and redefines access control policies for different roles to optimize resource availability. Formal methods are employed to ensure accurate system behaviour in software and hardware systems. Formal specifications provide a high-level representation of system behaviour and characteristics. This paper proposes formal specifications using the “Z” language to ensure accurate system behaviour in access control mechanisms. The proposed mechanism is implemented in a simulated environment and validated using four variants of the recommender approach. The study concludes that the proposed mechanism consistently enhances operational capability, minimizing over- and under-allocation of resources to roles and improving overall resource utilization within the enterprise. The proposed method is beneficial in dynamic environments where the system must adapt to evolving scenarios.

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Section: Access Control In Cloudmentioning

confidence: 99%

Adaptive Access Control Mechanism (AACM) for Enterprise Cloud Computing

Kaur

Verma

2023

Journal of Electrical and Computer Engineering

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“…It uses Vickrey-Clark-Groves (VCG)-based adaptive reputation mechanism and the distributed multi-level security scheme and hierarchy key management scheme for fine-grained access control. Mohan and Sudheep Elayidom (2015) proposed an access control scheme in cloud environment based on polynomial-based approach. The data owner in this scheme uses symmetric encryption technique and performs an access control based on polynomial-based secret sharing approach and user revocation done is based on Lagrange interpolation scheme.…”

Section: Related Workmentioning

confidence: 99%

HB-PPAC: hierarchy-based privacy preserving access control technique in public cloud

Senthilkumar

Viswanatham

2017

IJHPCN

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Cloud computing is one term that has evolved drastically over the years. It involves deploying groups of remote servers and software that are networked, that will allow centralised data storage and online access to computer services or resources. However, an important problem in public clouds is how to selectively share data based on fine-grained attribute-based access control policies while at the same time assuring confidentiality of the data and preserving the privacy of users from the cloud. Keeping in mind the confidentiality of data that must be provided, many schemes and encryption algorithms have been implemented, but most of those schemes have high computational costs and overload on the data owner. In this paper, we are proposing a hierarchy-based privacy preserving access control scheme, in which data is encrypted and decrypted by the cloud using the blinded encryption and decryption technique that retains the constant computation cost to the owner and the user for any large file size, thus it makes our scheme suitable for energy deficient devices. The experimental result shows that our scheme is more suitable for energy deficient devices without compromising the security of data. V. Madhu Viswanatham is currently an Associate Professor from the School of Computing Science and Engineering, VIT University, Vellore, India. He has several years of experience working in academia, teaching, and research. He has guided one PhD scholar and supervising six scholars. He received his PhD in Computer Science and Technology from the SK University, Andhra Pradesh, India. He has supervised MTech and BTech students. He organised several workshops and faculty development programs. His research interests include information security mobile, wireless systems, image processing and cloud computing.

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“…The proposed method ABE in [5], [7], [13,14], RBAC in [4,5], [10] and ABAC [6], [8] are some of the techniques which are utilized for outsourced data in cloud. ABE stands for Attribute Based Encryption was discovered by sahai and waters [2] to use in implement access control techniques taking into account different properties.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the fact that, these model shows change as far as execution proficiency and adaptability, the techniques neglected to give broad answer for versatility issue. Notwithstanding this, the RBAC display still endure by part blast issue [10] which is confronted by a few substantial scale venture that requires fine grain access control than what the current RBAC underpins.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Set Based Privacy Preserving Access Control Techniques in Cloud (FB-PPAC)

Kumari

Sudha

Brindha

2017

IJ-AI

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The word “Cloud” refers to network or internet. It is present at.remote location. Cloud computing is a latest mechanism used now-a-days for accessing, manipulating and configuring applications online via internet.<br /> It allows users for online data storage, various applications and infrastructure. There are few downsides of cloud computing like in public cloud sharing of data, selected data shared with users of various level without confidentiality and privacy of data. Different methods were used to fix this problem like encryption of attribute; encryption of access control but they have their own problems related to big computation for accquiring access structure, invoking and behavior management. So for removing these weakness, the combination of fuzzy-set theory and RSA algorithm has been introduced. Fuzzy-set is used for clustering the data based on their points. Further for privacy, I have included RSA for encryption and decryption of data which is used to store in cloud database. The analysis of my experiment shows the system is efficient, flexible and provides confidentiality of the data.

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Fine Grained Access Control and Revocation for Secure Cloud Environment – A Polynomial Based Approach

Cited by 4 publications

References 1 publication

Adaptive Access Control Mechanism (AACM) for Enterprise Cloud Computing

Adaptive Access Control Mechanism (AACM) for Enterprise Cloud Computing

HB-PPAC: hierarchy-based privacy preserving access control technique in public cloud

Fuzzy-Set Based Privacy Preserving Access Control Techniques in Cloud (FB-PPAC)

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