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Using Genetic Algorithm Based Distance Metric Learning in Intrusion Detection Systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Soleiman, Ezat Fetanat, Abdelhamid |
| Copyright Year | 2013 |
| Abstract | previous works on intrusion detection systems proved that hybrid method solutions have more advantages than single method solutions. This paper will introduce the method of how to join genetic algorithm with distance metric learning in intrusion detection system. With the rapid expansion of Internet in recent years, computer systems are facing increased number of security threats. Despite numerous technological innovations for information assurance, it is still very difficult to protect computer systems. Therefore, unwanted intrusions take place when the actual software systems are running. Different soft computing based approaches have been proposed to detect computer network attacks. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijser.org/researchpaper/Using-Genetic-Algorithm-Based-Distance-Metric-Learning-in-Intrusion-Detection-Systems.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
