TY  - JOUR
T1  - CB-HPAC Cluster Based-Hierarchical Privacy Preserving
Access Control Technique in Cloud
AU - Senthilkumar, Sudha AU - Viswanatham, Madhu 
JO  - International Journal of Soft Computing
VL  - 11
IS  - 6
SP  - 362
EP  - 373
PY  - 2016
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2016.362.373
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2016.362.373
KW  - cuckoo filter
KW  -decision value pair
KW  -blinded RSA
KW  -encryption
KW  -Access control
KW  -system authority
AB  - 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.
ER  -