DDoS Attack Detection Method Based on V-Support Vector Machine-Reference-Cited by-同舟云学术

DDoS Attack Detection Method Based on V-Support Vector Machine

Published:2019 Issue: Volume: Page:42-56
ISSN:0302-9743
Container-title:Cyberspace Safety and Security
language:
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Author:

Tang Xiangyan,Cao Rui,Cheng Jieren,Fan Dong,Tu Wenxuan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-37352-8_4

Reference30 articles.

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2. Cheng, J.R., Tang, X.Y., Yin, J.: A change-point DDoS attack detection method based on half interaction anomaly degree. Int. J. Auton. Adapt. Commun. Syst. 10(1), 38 (2017)

3. Advances in Intelligent Systems and Computing;VK Yadav,2016

4. Arbor Networks: Infrastructure Security Report (2012). http://tinyurl.com/ag6tht4 . Accessed 22 May 2019

5. Ferreira, L.L.C., Assis, F.M., De Souza, C.P.: A comparative study of use of Shannon, Rényi and Tsallis entropy for attribute selecting in network intrusion detection. In: Proceedings of IEEE International Workshop on Measurements & Networking, vol. 7435, pp. 77–82 (2012)

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