A Review on Classification Methods for Intrusion Detection System
| Author(s) | : | Charli A. Solanki, Prof. Sheetal Mehta |
| Institution | : | Computer Science and Engineering, Parul Institute of Engg. And Technology |
| Published In | : | Vol. 2, Issue 1 — January 2015 |
| Page No. | : | 308-311 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Security is becoming a critical part of organizational information systems. Intrusion Detection System (IDS)plays an effective role to achieve higher security in detecting malicious activities. The enormous volume of existing andnewly appearing network data that require processing has given data mining classification and other techniques to makeseveral important contributions to the field of Intrusion Detection. This paper includes various methods of classificationwhich provide a path to detect intrusions with their advantages and disadvantages and comparative analysis.
Charli A. Solanki, Prof. Sheetal Mehta, “A Review on Classification Methods for Intrusion Detection System”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 1, pp. 308-311, January 2015.
