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.
| Original language | English |
|---|---|
| Title of host publication | Fourth International Conference on Cyber Security, Cyber Warfare, and Digital Forensics - CyberSec 2015 |
| Subtitle of host publication | proceedings |
| Publisher | IEEE |
| Pages | 58-61 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781467384995 |
| DOIs | |
| Publication status | Published - 16 Jun 2016 |
| Externally published | Yes |
| Event | Fourth International Conference on Cyber Security, Cyber Warfare, and Digital Forensic - Sampoerna University, Jakarta, Indonesia Duration: 29 Oct 2015 → 31 Oct 2015 Conference number: 4th |
Conference
| Conference | Fourth International Conference on Cyber Security, Cyber Warfare, and Digital Forensic |
|---|---|
| Abbreviated title | CyberSec 2015 |
| Country/Territory | Indonesia |
| City | Jakarta |
| Period | 29/10/15 → 31/10/15 |
Keywords
- Intrusion Detection System
- Non-dominated sorting genetic algorithm
- Network security
- Evolutionary algorithms
