Survey on SDN based network intrusion detection system using machine learning approaches-Reference-Cited by-同舟云学术

Survey on SDN based network intrusion detection system using machine learning approaches

Published:2018-01-12 Issue:2 Volume:12 Page:493-501
ISSN:1936-6442
Container-title:Peer-to-Peer Networking and Applications
language:en
Short-container-title:Peer-to-Peer Netw. Appl.

Author:

Sultana Nasrin,Chilamkurti Naveen,Peng Wei,Alhadad Rabei

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/article/10.1007/s12083-017-0630-0/fulltext.html

Reference59 articles.

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2. Kreutz D, Ramos FMV, Verissimo PE, Rothenberg CE, Azodolmolky S (2015) Software-defines network- a comprehensive survey. Published in Proceedings of the IEEE, 103, 1

3. Aburomman AA, Reza MBI (2016) Survey of learning methods in intrusion detection systems. International conference on advances in electrical, electronic and system Engineering(ICAEES), Putrajaya, pp 362–365. https://doi.org/10.1109/ICAEES.2016.7888070

4. Mehdi SA, Khalid J, Khaiyam SA (2011) Revisiting traffic anomaly detection using software defined networking. In: Sommer R, Balzarotti D, Maier G (eds) Recent Advances in Intrusion Detection. RAID 2011. Lecture Notes in Computer Science, vol 6961. Springer, Berlin, Heidelberg

5. Garcı´a-Teodoroa P, Dı´az-Verdejo J, Macia´-Ferna’ndez G, Va´zquez E (2009) Anomaly-based network intrusion detection: Techniques, systems and challenges. J Comput Secur 28(1-2):18–28

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