TY  - JOUR
T1  - Neuro Fuzzy ART Based User Behaviour Trust in Cloud Computing
AU - Mercy, S. AU - Jaiganesh, M. AU - Anupama, K.C. AU - Vincent Antony Kumar, A. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 18
SP  - 3461
EP  - 3473
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.3461.3473
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.3461.3473
KW  - Cloud computing
KW  -hypervisor monitoring
KW  -neuro fuzzy
KW  -Fuzzy ART
KW  -optimization
KW  -virtualization
AB  - 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.
ER  -