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Performance Analysis of Machine Learning Techniques for Intrusion Detection
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 12 - Number 23 |
| Year of Publication: 2019 |
| Authors: Aftab Ahmad Malik, Muhammad Bilal Butt, Rabia Aslam Khan |
10.5120/ijais2019451817
|
Aftab Ahmad Malik, Muhammad Bilal Butt, Rabia Aslam Khan . Performance Analysis of Machine Learning Techniques for Intrusion Detection. International Journal of Applied Information Systems. 12, 23 ( August 2019), 12-19. DOI=10.5120/ijais2019451817
Abstract
During the recent years, there has been tremendous development in the area of Computer Networks. This paper deals with the important area that is performance analysis of techniques used in machine learning. One of the major problems in Network Security is “intrusion detection system”, which is software, remains active during processing. The intrusion detection system helps in monitoring computers and computer networks, vulnerabilities or malicious activities. The attacks or malicious activities censor information and then corrupt the system networking protocols. In this paper, different machine learning techniques and their performance are compared and discussed. How machine learning techniques can ideally help in developing efficient “Intrusion detection system”.
References
- N. F. Haq, “Application of Machine LearningApproaches in Intrusion Detection System?: A Survey,” vol. 4, no. 3, pp. 9–18, 2015.
- S. Juma, Z. Muda, M. A. Mohamed, and W. Yassin, “MACHINE LEARNING TECHNIQUES FOR INTRUSION DETECTION SYSTEM?: A REVIEW,” vol. 72, no. 3, 2015.
- A. A. Shah, “Analysis of Machine Learning Techniques for Intrusion Detection System?: A Analysis of Machine Learning Techniques for Intrusion Detection System?: A Review,” no. June, 2015.
- M. Zamani, “Machine Learning Techniques for Intrusion Detection,” no. December 2013, 2014.
- B. Zhang, “Network Intrusion Detection Method Based on PCA and Bayes Algorithm,” vol. 2018, 2018.
- R. R. Chaudhari and S. P. Patil, “A Study on Data Mining & Machine Learning for Intrusion Detection System,” vol. 6, no. 2, pp. 114–118, 2017.
- U. R. Salunkhe, “Security Enrichment in Intrusion Detection System Using Classifier Ensemble,” vol. 2017, 2017.
- M. Alkasassbeh and M. Almseidin, “Machine Learning Methods for Network Intrusion Detection,” no. October, 2018.
- Shaoqiang Wang, DongSheng Xu , ShiLiang Yan “Analysis and application of Wireshark in TCP/IP protocol teaching”, Publisher: IEEE
- Mark Hall, Eibe Frank etal (2009), “WEKA data Mining Software”, ACM SIGKDD Explorations, Volume 11 Issue 1, ACM New York, NY, USA doi>10.1145/1656274.1656278
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