Active Bayes Classifier Model For Multi-Tenat Trust Maintenance on Software Service Providence

Cloud based trust is regarded as the essential secure relationship system on software application to applicationinteraction. Current works on the cloud software trust model does not reasonably and precisely reflect some important characteristics such as authenticating the client side requests. A key issue namely the usage unauthorized service executables are not controlled in the cloud system trust management. Using a few simple methods, the user services are authenticated, however the security issues arise on the multiple tenants. Software Trust development methodology is a hot topic in the cloud environment to solve the security issues and enable the high protection on the software services. To improve the software trust level on the cloud Infrastructure, Multi-Tenant Active Bayes Classifier Trust Maintenance (MTM-ABC) model is proposed in this paper.MTM-ABC model works to self-manage the trust level on dual approach (i.e., client and server side) while providing the software services.MTM-ABC model works under the two phases namely MTM-ABC-Client model and MTM-ABC-Cloud Server model. Active Bayes Classifier in the client model dynamically makes the trust decision in the different situation of the user request to the software services. The active client trust evaluation function is used in the MTM-ABC- Client model to compute the authentication level based on services provider through prior knowledge. On the MTM-ABC- Cloud Server model, the authentication to the multiple tenants is provided simultaneouslyusing Eigen Server Trust Function. The Eigen Server Trust function computed on all the tenants based on the history information. The unauthenticated request from the client side is discarded, thereby decreasing the downloadmemoryof the unauthenticated software services. Experiment is conducted on factors such as average response time, trust level maintenance rate on simultaneousmulti-tenants request and throughput level on accessing the software from cloud zone.Research Scholar, Computer Science Department, Karpagam University, Coimbatore, 642120, India. Cloud Server model, Email:chidamkl@gmail.com Mobile: +91-9841783807 "Associate Professor, Computer Science Department, Periyar University, Salem, 636011, India. Email: ccsekar@gmail.com Mobile: +91-9994599967