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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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Submitted on : Thursday, June 18, 2015 - 2:34:55 PM
Last modification on : Tuesday, October 19, 2021 - 11:58:55 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 1:46:22 PM


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  • HAL Id : hal-01165134, version 1


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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