An intrusion detection framework for supporting SLA assessment in Cloud Computing

Abstract

Cloud Computing is the emerging paradigm in distributed environment. It is an opportunity for users to reduce costs and increase efficiency. Cloud Computing represents both a technology for using computing infrastructures in a more efficient way, and a business model for selling computing services and resources. In this context, cyber attacks represent a serious danger, which can compromise the quality of service delivered to the customers. In this paper, a mOSAIC-based framework for providing distributed intrusion detection in Cloud Computing is proposed. It is an architectural framework that collects information at different Cloud architectural levels, using multiple distributed security components, which can be used to perform complex event correlation analysis to identify intrusions in the Cloud system that involve Service Level Agreement violations.