A UNIQUE HYBRID FUZZY-BASED HOMOMORPHIC PROXY RE-ENCRYPTION TO INCREASE THE SECURITY OF ID-BASED AUTHENTICATION FOR CLOUD

Author (s) : JEYAGANESH KUMAR.K, JOHN WESLEY .C, S.BALU, R.GOWTHAMI

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Abstract :
A cloud computing environment (CCE) can enable a group to reassign computing resources to boost financial gains. CCE is transparent to both developers and cloud users (CUs). In comparison to earlier varieties of distributed computing, it thus brings fresh challenges. The classified fuzzy cloud method (CFCM) applied to the CCE chance ID stage that captures the CCE risk elements through a thorough analysis of the CCE security area allows CCE security risk assessment to address the issue of the system's multidimensional character. The protection of the client's INFO privacy is specifically restricted by current CCE frameworks. In this research, we provide a homomorphic proxy re-encryption (HPRE) that allows different CU to communicate information that they redistributed via HPRE encryption. using their PubKs in a plausible manner through a nearby operation like INFO remotely. Conventional AC models do not support the test of providing secrecy, uprightness, and access control (AC) of INFO enabled on cloud stages. To meet the needs of the association, which accepted full control over the physical structure of the assets, CFCM models were developed over the course of several decades. In the same trusted area, the hypotheses of the INFO proprietor, INFO controller, and INFO supervisor are available. The fundamental unit, fuzzy set (FS) hypothesis, and EW approach are additional CCESR features that are used to precisely quantify the likelihood of CCE security risks (SR) and the ensuing harms of CCESR estimation. The computation and authentication model eventually specified, and the absence of  CCE SECU threat evaluation examined.

Keywords : CCE, Cloud security ,Fuzzy set theory , Risk assessment, Access control mechanism

Conference Date : 30/08/2019

Pages : 215

Paper ID : 19206