Abstract: Cloud computing dissemination is exposed by unsolved protection concerns that influence both the cloud provider and the cloud user. In especially, a resource based side channel attacks survived to exploit the properties of hardware and disc space, called virtual isolation problem. We present a major three factors such that Memory, Giga Floating-point Operations Per Second ( GLOPS ) and Disc space. To overcome this problem, we propose and examine resources based user behaviour trust for cloud environment using Neuro fuzzy and fuzzy Adaptive Resonance Theory (ART) classifications. Fuzzy ART categorizes the given cloud resource factors using unsupervised learning with vigilance threshold output to classify the hackers as namely secure, vulnerable, modified and anomaly. The next stage, neuro fuzzy method is to control the hackers by predicting the trust rate of each client. Neuro fuzzy adoption are predetermined both modified and anomaly hackers. The results are specified and compared with the trust rate of high distinction. The research hereby shows the valuable outcome to cloud service provider such that once the trust rate of the client is predicted to generate remedy actions like: snapshot of previous connections, back up awareness and accounting of trust.
M. Jaiganesh, S. Mercy, K.C. Anupama and A. Vincent Antony Kumar, 2016. Neuro Fuzzy ART Based User Behaviour Trust in Cloud Computing. Asian Journal of Information Technology, 15: 3461-3473.