- 期刊
Feature Analysis for Intrusion Detection in Mobile Ad-hoc Networks
並列摘要
As Mobile Ad-hoc network (MANET) has become a very important technology, research concerning its security problem, especially, in intrusion detection has attracted many researchers. Feature selection methodology plays a central role in the data analysis process. The proposed features are tested in different network operating conditions. PCA is used to analyze the selected features. This is because, redundant and irrelevant features often reduce performance of the detection system. Performance reduction will occur both in speed and predictive accuracy. This paper aims to select and analyze the network features using principal component analysis. In this paper, performing various experiments, normal and attack states are simulated and the results for the selected features are analyzed.
延伸閱讀
- 蔡秉任（2014）。Hybrid Intrusion Detection System Toward Unknown Attack Classification〔碩士論文，國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2014.00936
- Hwang, W. J., & Ou, C. M. (2009). Efficient Header Classification Architecture for Network Intrusion Detection. Journal of Information Science and Engineering, 25(6), 1839-1853. https://doi.org/10.6688/JISE.2009.25.6.11
- Patcha, A., & Park, J. M. (2006). A Game Theoretic Formulation for Intrusion Detection in Mobile Ad Hoc Networks. International Journal of Network Security, 2(2), 131-137. https://doi.org/10.6633/IJNS.200603.2(2).07
- Uddin, M., Rehman, A. A., Uddin, N., Memon, J., Alsaqour, R., & Kazi, S. (2013). Signature-based Multi-Layer Distributed Intrusion Detection System Using Mobile Agents. International Journal of Network Security, 15(2), 97-105. https://doi.org/10.6633/IJNS.201303.15(2).03
- Zou, J., Tao, D., & Yu, J. (2017). A Hybrid Intrusion Detection Model for Web Log-Based Attacks. 網際網路技術學刊, 18(4), 887-895. https://doi.org/10.6138/JIT.2017.18.4.20170518