초록
영어
In this paper, separated and optimized pattern database model is proposed. In order to improve efficiency of Network-based IDS, pattern database is classified by proper basis. Classification basis is decided by the specific Intrusions validity on specific target. Using this model, IDS searches only valid patterns in pattern database on each captured packets. In result, IDS can reduce system resources for searching pattern database. So, IDS can analyze more packets on the network. In this paper, proper classification basis is proposed and pattern database classified by that basis is formed. And its performance is verified by experimental results.
목차
ABSTRACT
1. Introduction
2. Intrusion Detection Systems
2.1 Classification of Intrusion Detection Systems
2.2 Technical Elements of Intrusion Detection Systems
3. Models of separated Intrusion Pattern Database
3.1 Intrusion Pattern Database of General IDS
3.2 Separated Pattern Database Using Host Information
4. Example Network-based IDS using
4.1 Structure of Entire System
5. Experimental Results
5.1 Objects of Test
5.2 Attack Sequence Processing Efficiency Test
6. Conclusions and Future Works
References
1. Introduction
2. Intrusion Detection Systems
2.1 Classification of Intrusion Detection Systems
2.2 Technical Elements of Intrusion Detection Systems
3. Models of separated Intrusion Pattern Database
3.1 Intrusion Pattern Database of General IDS
3.2 Separated Pattern Database Using Host Information
4. Example Network-based IDS using
4.1 Structure of Entire System
5. Experimental Results
5.1 Objects of Test
5.2 Attack Sequence Processing Efficiency Test
6. Conclusions and Future Works
References
저자정보
참고문헌
자료제공 : 네이버학술정보