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Automatic Reconfiguration of NIDSs in IaaS Clouds with SAIDS

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Abstract

Infrastructure as a Service (IaaS) clouds are very dynamic with at runtime frequent changes at different levels of the virtual infrastructure. For cloud tenants, this affects the ability of a security monitoring framework to successfully detect attacks. In this paper, we propose SAIDS, a self-adaptable intrusion detection system for IaaS clouds that is able to adapt its components based on dynamic events that occur in a cloud infrastructure. We implemented and experimentally evaluated SAIDS, and show that it is a scalable solution that successfully detects attacks even during the adaptation process while imposing negligible overhead to cloud operations and tenant applications.
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Dates and versions

hal-01884089 , version 1 (29-09-2018)

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Anna Giannakou, Louis Rilling, Christine Morin, Jean-Louis Pazat. Automatic Reconfiguration of NIDSs in IaaS Clouds with SAIDS. CloudCom 2018 - 10th IEEE International Conference on Cloud Computing Technology and Science, Dec 2018, Nicosia, Cyprus. pp.99-106, ⟨10.1109/CloudCom2018.2018.00031⟩. ⟨hal-01884089⟩
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