PERFORMANCE ANALYSIS OF SECURE RESOURCE ALLOCATION USING NEURO-FUZZY SYSTEMS IN CLOUD ENVIRONMENT

In recent times one of the emerging and intelligent tool is Cloud Computing. It has developed a leadingmodel of computing and IT service delivery. Cloud Computing is characterized by three-layered basic service forms such as, Platform-as-a-Service (PaaS), Software-as-aService (SaaS) and Infrastructure-as-a Service (IaaS). Pushinginformation into the cloud extendslargercloseness since users are not necessary to be concerned about the storage capacity, storing techniques, hardware management, or data maintenance. A key problem that requiresspecificconsideration is security of clouds. Existing approaches for secured outsourcing of information and random calculations are either support on a single tamperproof hardware, or based on homomorphic encryption. To overcome existing issues a novel approach is proposed tofocus on security experiments in cloud computing and to provide solutions. To provideunfailing security to the users, the purpose of this paper is in threefolding. 1) To design a mathematical model for trust and reputation calculation. 2) To propose TR-SSalgorithm for calculation of security score. 3) To compare the security score of trust and reputation factors by Fuzzy Logic System, Neural Network.This work is focused on controlling the security issues in cloud environment by means of trust and reputation factors using mathematical model, Trust and Reputation Security Score (TRSS) algorithm, Fuzzy Logic System, Neural Network.