An Improved Automated Multi Level Intrusion Detection and Log Management System In Cloud Computing.

Abstract

Information and Communications Technology (ICT)] has come to stay. As a result, most of our institutions have decided to move their important files to the cloud and do online transactions –allocation of resources to reviewer, proper storage of the big data from hackers. Cloud also involves multi-mesh distributed and service oriented paradigms, multi-tenancies, multi-domains, and multi-user autonomous administrative infrastructures which are more vulnerable and prone to security risks.  Cloud computing service architecture combines three layers of inter-dependent infrastructure, platform and application; each layer may suffer from certain vulnerabilities which are introduced by different programming or configuration errors of the user or the service provider. A cloud computing system can be exposed to several threats including threats to the integrity, confidentiality and availability of its resources, data and the virtualized infrastructure which can be used as a launching pad for new attacks. The problem becomes even more critical when a cloud with massive computing power and storage capacity is abused by an insider intruder as an ill-intention party which makes cloud computing a threat against itself.