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By impersonating legitimate users, intruders can use the abundant resources of cloud computing environments. This paper develops a framework for "CIDS" a cloud based intrusion detection system, to solve the deficiencies of current IDSs. CIDS also provides a component to summarize the alerts and inform the cloud administrator. CIDS architecture is scalable(More)
Masquerade attacks pose a serious threat for cloud system due to the massive amount of resource of these systems. Lack of datasets for cloud computing hinders the building of efficient intrusion detection of these attacks. Current dataset cannot be used due to the heterogeneity of user requirements, the distinct operating systems installed in the VMs, and(More)
Cloud computing delivers on-demand resources over the Internet on a pay-for-use basis, intruders may exploit clouds for their advantage. This paper presents Autonomous Cloud Intrusion Response System (ACIRS), a proper defense strategy for cloud systems. ACIRS continuously monitors and analyzes system events and computes security and risk parameters to(More)