A Hybrid Approach for Intrusion Detection using Integrated K-Means based ANN with PSO Optimization-Reference-Cited by-同舟云学术

A Hybrid Approach for Intrusion Detection using Integrated K-Means based ANN with PSO Optimization

Published:2020 Issue:3 Volume:5 Page:317-323
ISSN:2415-6698
Container-title:Advances in Science, Technology and Engineering Systems Journal
language:
Short-container-title:Adv. sci. technol. eng. syst. j.

Author:

Baby Jesuretnam Josemila,Jeba James Rose

Publisher

ASTES Journal

Subject

Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)

Link

https://www.astesj.com/publications/ASTESJ_050341.pdf

Reference20 articles.

1. Sobh, Tarek S. "Wired and wireless intrusion detection system: Classifications, good characteristics and state-of-the-art." Computer Standards & Interfaces 28, no. 6 (2006): 670-694.

2. Aydın, M. Ali, A. Halim Zaim, and K. GökhanCeylan. "A hybrid intrusion detection system design for computer network security." Computers & Electrical Engineering 35, no. 3 (2009): 517-526.

3. Raymond, Jean-François. "Traffic analysis: Protocols, attacks, design issues, and open problems." In Designing Privacy Enhancing Technologies, pp. 10-29. Springer, Berlin, Heidelberg, 2001.

4. Tsai, Chih-Fong, Yu-Feng Hsu, Chia-Ying Lin, and Wei-Yang Lin. "Intrusion detection by machine learning: A review." expert systems with applications 36, no. 10 (2009): 11994-12000.

5. Debar, Hervé, Marc Dacier, and Andreas Wespi. "A revised taxonomy for intrusion-detection systems." In Annales des télécommunications, vol. 55, no. 7-8, pp. 361-378. Springer-Verlag, 2000.

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