Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/CloudCom2018.2018.00031 | 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) |
Keywords | Field | DocType |
intrusion detection,cloud,self adaptation | Computer science,Security monitoring,Self adaptation,Intrusion detection system,Control reconfiguration,Distributed computing,Cloud computing,Scalability | Conference |
ISSN | ISBN | Citations |
2330-2194 | 978-1-5386-7900-5 | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anna Giannakou | 1 | 4 | 2.75 |
| Louis Rilling | 2 | 226 | 14.50 |
| Christine Morin | 3 | 226 | 26.78 |
| Jean-Louis Pazat | 4 | 199 | 28.98 |