Secured Cloud Computing using User Classification and Bilinear Diffie-Hellman Schema

In the present computer era of cloud computing and its security issues pertaining identification and restricting malicious users or unknown users is considered to be critical as they tend to hack or attack cloud tenant's bilinear data. The proposed work protects data pertaining seller, retailer and carrier from attacker by classifying various cloud users. Bilinear Computational Diffie-Hellman (BCDH) and Bilinear Decisional Diffie Hellman (BDDH) are used to implement Analytical Cloud Model. The classification is performed based on classification of working of processing time at Virtual Machine VM and Physical Machine PM based on their threshold values calculated based on the life time of the arrival job in Instance Allocation Pool Access Tree.