Feedback Based Sampling for Intrusion Detection in Software Defined Network
| Title | Feedback Based Sampling for Intrusion Detection in Software Defined Network |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Shi, Jiangyong, Zeng, Yingzhi, Wang, Wenhao, Yang, Yuexiang |
| Conference Name | Proceedings of the 2Nd International Conference on Cryptography, Security and Privacy |
| Publisher | ACM |
| ISBN Number | 978-1-4503-6361-7 |
| Keywords | feedback, flow sampling, IDS, OpenFlow, pubcrawl, resilience, Resiliency, Scalability, SDN, SDN security |
| Abstract | Cloud computing is being deployed more and more widely. However, the difficulty of monitoring the huge east-west traffic is a great security concern. In this paper, we proposed FBSample, a sampling method which employs the central control feature of SDN and feedback information of IDS. Evaluation results show FBSample can largely reduce the amount of packets to be transferred while maintaining a relatively high detection precision. |
| URL | https://dl.acm.org/citation.cfm?doid=3199478.3199495 |
| DOI | 10.1145/3199478.3199495 |
| Citation Key | shi_feedback_2018 |