Intrusion detection in software defined networks with self-organized maps

Journal of Telecommunications and Information Technology

Volumn 2015, Issue 4, 2015, Pages 3-9

  Jankowski, Damian ^a   Amanowicz, Marek ^a  

^a MILITARY UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

IDS dataset; Machine learning; Metasploit; Network security; Network simulation; Open Ow; Virtualization

Indexed keywords

EID: 84952935201     PISSN: 15094553     EISSN: 18998852     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. J. Kleban and M. Pucinski, "Sieci sterowane programowo SDN w centrach danych SDDC" (SDN network software controlled data centers SDDC), in XVII Poznan Commun. Worksh. PWT 2013, Poznan, Poland, 2013 (in Polish).
2. D. Kreutz et al., "Software Defined Networking: A Comprehensive Survey", Proc. of the IEEE, vol. 103, no. 1, pp. 14-76, 2015.
3. S. Shin and G. Gu, "Attacking software-defined networks: A first feasibility study", in Proc. 2nd ACM SIGCOMM Worksh. Hot Topics in Softw. Def. Netw. HotSDN'13, Hong Kong, China, 2013, pp. 165-166.
4. D. Kreutz, F. M. V. Ramos, and P. Verissimo, "Towards secure and dependable software-defined networks", in Proc. 2nd ACM SIG-COMM Worksh. Hot Topics in Softw. Def. Netw. HotSDN'13, Hong Kong, China, 2013, pp. 55-60.
5. V. Tiwari, R. Parekh, and V. Patel, "A survey on vulnerabilities of openflow network and its impact on SDN/Openflow controller", World Academic J. Eng. Sci., vol. 1, no. 01:1005, 2014.
6. S. Akbar Mehdi, J. Khalid, S. A. Khayam, "Revisiting traffic anomaly detection using software defined networking", in Recent Advances in Intrusion Detection, R. Sommer, D. Balzarotti, and G. Maier, Eds. LNCS, vol. 6961, pp. 161-180. Berlin Heidelberg: Springer, 2011.
7. S. Dotcenko, A. Vladyko, and I. Letenko, "A fuzzy logic-based information security management for software-defined networks", in Proc. 16th Int. Cof. Adv. Commun. Technol. ICACT 2014, Pyeongchang, South Korea, 2014, pp. 167-171.
8. K. Giotis, C. Argyropoulos, G. Androulidakis, D. Kalogeras, and V. Maglaris, "Combining OpenFlow and sFlow for an effective and scalable anomaly detection and mitigation mechanism on SDN environments", J. Comp. Netw., vol. 62, pp. 122-136, 2014.
9. R. Braga, E. Mota, and A. Passito, "Lightweight DDoS flooding attack detection using NOX/OpenFlow", in Proc. 35th Ann. IEEE Conf. Local Comp. Netw. LCN 2010, Denver, Colorado, USA, 2010, pp. 408-415.
10. OpenDaylight Platform [Online]. Available: https://www.opendaylight.org/
11. Mininet-An Instant Virtual Network on your Laptop (or other PC) [Online]. Available: http://minimet.org
12. A. S. Subaira and P. Anitha, "Efficient classification mechanism for network intrusion detection system based on data mining techniques: a survey", in 8th IEEE Int. Conf. Intell. Syhst. & Control ISCO 2014, Coimbatore, India, 2014, pp. 274-280.
13. K. Choksi, B. Shah, and O. Kale, "Intrusion detection system using self organizing map: a surevey", Int. J. Engin. Res. Appl., vol. 4, no. 12, pp. 11-16, 2014.
14. S. Osowski, Sieci neuronowe do przetwarzania informacji (Neural Networks for Information Processing). Warsaw: Publishing House of Warsaw University of Technology, 2013 (in Polish).
15. "SOMz: Self Organizing Maps and random atlas" [Online]. Available: http://lcdm.astro.illinois.edu/static/code/mlz/MLZ-1.2/doc/html/somz.html