Authors : Sudha Senthilkumar and Madhu Viswanatham
Abstract: Cloud computing is an evolving technology that relies on resource sharing to attain coherence and economies of balance, similar to a utility hosted over a network. Cloud enables a decentralized data storage and online access to data and computing services. However, there exists an access control challenge for sharing data in public clouds, to share data selectively with different levels of user without compromising the confidentiality and privacy of data and user respectively. Several existing methods used to solve this problem such as attribute based encryption; access control policy based encryption which has its own weakness in terms of heavy computation for deriving access structure, user addition and revocation and policy management. To alleviate this weakness, the proposed technique uses the combination of blinded RSA algorithm and cuckoo filter data structure which can solve above addressed problem. According to this general cluster based algorithm can be used for clustering the users according to their policies and mapped with cuckoo hash table to flexible user addition and revocation. Further, to ensure confidentiality and support anonymous authentication within the cluster, the blinded RSA encryption and group signature scheme included with the data stored into cloud. The experimental analysis shows that our proposed scheme proven to provide flexible, efficient and fine grained access control for cloud outsourced data.
Sudha Senthilkumar and Madhu Viswanatham, 2016. CB-HPAC Cluster Based-Hierarchical Privacy Preserving Access Control Technique in Cloud. International Journal of Soft Computing, 11: 362-373.