A Novel Distributed Denial-Of-Service Attack Detection Scheme for Software Defined Networking Environments
Software-Defined networking (SDN), as a new paradigm, fixes the shortage that traditional network does not support the dynamic, scalable computing and storage needs of more computing environments. SDN, however, also faces security problems such as vulnerable to DDoS attacks. DDoS attacks are well-known and powerful attacks. DDoS detection and DDoS traffic separation for SDN environments are still an open research issue. DDoS attacks in SDN environments will not only bring damage to target server, but also takes exact impact on SDN system. In this paper, we identify a new type DDoS attack, specifically aiming SDN environment, which is harder to be detected. We propose a novel real-time DDoS detection scheme for SDN environment, by using Principal Component Analysis (PCA) scheme to analyze the network status on traffic packets data. We separate the network into different parts, to reduce the total calculation burden. We compare our scheme with sample entropy, showed our scheme achieves better detecting ability for DDoS attacks.
D. Wu et al., "A Novel Distributed Denial-Of-Service Attack Detection Scheme for Software Defined Networking Environments," Proceedings of the 2018 IEEE International Conference on Communications (2018, Kansas City, MO), Institute of Electrical and Electronics Engineers (IEEE), May 2018.
The definitive version is available at https://doi.org/10.1109/ICC.2018.8422448
2018 IEEE International Conference on Communications, ICC 2018 (2018: May 20-24, Kansas City, MO)
Keywords and Phrases
Digital storage; Network security; Principal component analysis; Computing environments; Detecting ability; Distributed denial of service attack; Research issues; Scalable computing; Security problems; Software defined networking (SDN); Traffic separation; Denial-of-service attack
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International Standard Serial Number (ISSN)
Article - Conference proceedings
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