MULTI-TENANT CLOUD ENVIRONMENT TRUST MANAGEMENT BY SORENSEN AND HITS ALGORITHM

Abstract

Cloud environment provide virtual machines for the tenants’ services. Virtual machine provides processor, memory, bandwidth as a resource for daily, monthly, yearly basis as per utilization. All of machine are from unreliable environment so trust need to be calculated for understanding the machine behaviour in cloud. This paper has work on trust based malicious machine detection after fix number of virtual packet clock cycle (VPCC). Estimation of machine trust was done centrally by use of social digital user Sorensen function, resource utilization belief and HITS algorithm. VPCC based Sorensen function value was estimated for each virtual machine. Based on individual machine resources utilization belief value was calculated. Finally, Sorensen and resource utilization belief value were used for HITS hub based final trust was proposed. Experiment was done on two type of environment first was ideal and other was DDoS attack. Result shows that proposed model SHCTM (Sorensen and HITS Based Cloud Trust Management) has higher detection rate as compared to other existing models.