Towards Self Adaptable Security Monitoring in IaaS Clouds

Abstract : Traditional intrusion detection systems are not adaptive enough to cope with the dynamic characteristics of cloud-hosted virtual infrastructures. This makes them unable to address new cloud-oriented security issues. In this paper we introduce SAIDS, a self-adaptable intrusion detection system tailored for cloud environments. SAIDS is designed to re-configure its components based on environmental changes. A prototype of SAIDS is described.
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https://hal.inria.fr/hal-01165134
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  • HAL Id : hal-01165134, version 1

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Anna Giannakou, Louis Rilling, Jean-Louis Pazat, Frédéric Majorczyk, Christine Morin. Towards Self Adaptable Security Monitoring in IaaS Clouds. 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CC-GRID 2015), May 2015, Shenzen, China. ⟨hal-01165134⟩

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