Tamimi, A. and Naidu, D. S. and Kavianpour, S. (2016) An Intrusion Detection System Based on NSGA-II algorithm. In: 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015, 29 October 2015 through 31 October 2015, Indonesia.
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Abstract
Attack detection is one of the most important issues for computer networks security. Intrusion Detection System (IDS) monitors network for malicious activity. In this paper, a method is proposed to identify the attacks in IDS. This method generates rule sets for Intrusion Detection System using non-dominated sorting genetic algorithm (NSGA-II). NSGA-II is one type of multi objective genetic algorithms. This method considers features of computer connection and defines two different fitness functions for generating the rules. The advantage of this method compared with previous methods which applied Evolutionary Algorithm. Since some methods applied one fitness function or convert many objectives to single objective, they lost many features.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Evolutionary Algorithms, Intrusion Detection System, Network Security, Non-dominated sorting genetic algorithm |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Advanced Informatics School |
| ID Code: | 73234 |
| Deposited By: | Muhammad Atiff Mahussain |
| Deposited On: | 27 Nov 2017 05:05 |
| Last Modified: | 27 Nov 2017 05:05 |
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