Towards Self Adaptable Security Monitoring in IaaS Clouds - Archive ouverte HAL Access content directly
Conference Papers Year :

Towards Self Adaptable Security Monitoring in IaaS Clouds

(1) , (2) , (3, 1) , (2) , (1)
1
2
3

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.
Fichier principal
Vignette du fichier
ccgrid2015_submission_382(1).pdf (1.48 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01165134 , version 1 (18-06-2015)

Identifiers

  • HAL Id : hal-01165134 , version 1

Cite

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⟩
571 View
371 Download

Share

Gmail Facebook Twitter LinkedIn More