An Empirical Framework To Detect Security Attacks On the Cloud Data Storage System
Providing an adequate security level in Cloud Environments is currently a particularly active analysis space. A lot of specifically, malicious behaviors targeting massive scale Cloud knowledge repositories (e.g. Denial of Service attacks) could drastically degrade the general performance of such systems and can't be detected by typical authentication mechanisms. In this paper, the authors have a tendency to propose a generic security management framework permitting suppliers of Cloud knowledge management systems to outline and enforce complicated security policies.