Discovery of Malicious Intruders in Cloud Environment Violating Service Level Agreements

Abstract

Many researchers have carried out lots of analysis for intrusion detection and finding the defense techniques for malicious insiders in cloud systems. Most of the existing works have discussed malicious insiders of cloud systems theoretically. In this proposed work, an Intrusion detection system named Malicious Insider detector (MID) is designed and implemented with artificial neural network (ANN) to detect malicious insiders.  This work describes the malicious insiders as who are disobeying the Service Level Agreements (SLA)in cloud IaaS to distress and reject the cloud resources. This system uses bandwidth utilization (BU), memory utilization (MU) and storage utilization (SU) as SLA attributes. In this work, Malicious Insider detector system is simulated and performance is measured.The performance analysis shows that this system efficient, capableto detect the malicious insiders’ intimidations. The feasibleinvestigation on the concertdemonstrates that malicious insider detectormoduleis being capable to determine and detect the malicious insiders with high detection rate.