Cloud Malicious Node Detection by Trust based model

Project Discription

Cloud computing provide dynamic adaption of service sharing for company, individual, etc. So proper working of model is highly required which directly depends on  trust evaluation. So this paper proposed a trust evaluation model by using Fuzzy Max Interval. Concept of centralized data updation also enhance this work efficiency as hierarchical cluster of nodes were developed. Here model has increase the trust score of nodes with every successful transaction while its behavior with other nodes also effect the score value. Proposed model has reduce the malicious node trust score by identifying its working pattern with other nodes. Experiment was done on three environmental conditions ideal, black hole and group attack. Results were compared with existing method and it was obtained that proposed model has improve the Malicious node convergence value by 58.6% and Trusted Node convergence value by 86.93%. 

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