A Two-Phase Cycle Algorithm Based on Multi-objective Genetic Algorithm and Modified BP Neural Network for Effective Cyber Intrusion Detection
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-62223-7_7
Reference33 articles.
1. Heady, R., Luger, G., Maccabe, A., Servilla, M.: The architecture of a network level intrusion detection system. Technical Report CS90-20, Department of Computer Science, University of New Mexico. Other Inf. PBD 15 Aug 1990 (1990)
2. F-Secure: The state of cyber security 2017 (2017)
3. Manzoor, I., Kumar, N.: A feature reduced intrusion detection system using ANN classifier. Expert Syst. Appl. 88, 249–257 (2017)
4. Vijayanand, R., Devaraj, D., Kannapiran, B.: Intrusion detection system for wireless mesh network using multiple support vector machine classifiers with genetic-algorithm-based feature selection. Comput. Secur. 77, 304–314 (2018)
5. Li, L., Yu, Y., Bai, S., Hou, Y., Chen, X.: An effective two-step intrusion detection approach based on binary classification and k-NN. IEEE Access 6, 12060–12073 (2017)
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1. A novel two-phase cycle algorithm for effective cyber intrusion detection in edge computing;EURASIP Journal on Wireless Communications and Networking;2021-07-10
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