As modern computer networks are large-scale with numerous nodes, the conventional concentrated intrusion detection system fails to work effectively. To deal with the above situation, the paper proposed a “Soft-Man” and data mining based distributed intrusion detection system (SMDMDIDS, for short). Specifically, it designed an overall structure model of the detection system, expounded the system’s communication models, and designed the communication models and cooperation methods between Soft-Mans as well. The paper also defined hierarchical cooperation models for the Soft-Mans and designed corresponding data mining models. Finally, with the help of IDS Informer tools, the paper conducted a simulation experiment on network intrusion detection. The experimental results showed that the proposed intrusion detection system in the paper had good detection performance.
목차
Abstract 1. Introduction 2. System Design 3. Key Technologies of the System 3.1.The Communication Technologies of SMDMDIDS 3.2. Communication Models of SMDMDIDS 3.3. The Cooperation Modes of Soft-Mans in SMDMDIDS 3.4. The Hierarchical Cooperation Model of Soft-Mans in SMDMDIDS 3.5. Data Mining Design 4. Analysis and Evaluation of the Experimental Results Acknowledgements References
키워드
Soft-ManIntrusion detectionData mining
저자
Jun Zheng [ Network Information Center, Baotou Teachers’ College Science Road No. 3, Qingshan District, Baotou, Inner Mongolia, China ]
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.10 No.8