Malware Detection in Cloud Computing Infrastructures
Abstract—Malware Detection in Cloud Computing Infrastructures. Cloud services are prominent within the private, public and commercial domains. Many of these services are expected to be always on and have a critical nature;therefore,security and resilience are increasingly important aspects.In order to remain resilient,a cloud needs to possess the ability to react not only to known threats,but also to new challenges that target cloud infrastructures. In this paper we introduce and discuss an online cloud anomaly detection approach, comprising dedicated detection components of our cloud resilience architecture. More speciﬁcally, we exhibit the applicability of novelty detection under the one-class support Vector Machine < Final Year Projects 2016 > SVM formulation at the hypervisor level, through the utilisation of features gathered at the system and network levels of a cloud node.
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