earticle

논문검색

“Soft-Man” and Data Mining based Distributed Intrusion Detection System

원문정보

초록

영어

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

저자정보

  • Jun Zheng Network Information Center, Baotou Teachers’ College Science Road No. 3, Qingshan District, Baotou, Inner Mongolia, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.