지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.8
- 수록면
- 285 - 297 (13page)
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초록· 키워드
오류제보하기
The rapid development of computer networks has accelerated the development of society, but also leads to much more frequent network attacks, and makes the attacks much more complex. Therefore, network intrusion detection becomes a great challenge to security in both industry and academics. In this paper, we present a network detection method based on a collaborative model against network threats and attacks, as well as trend analysis of network structure. First of all, the threat detection level collaboration model is given a specific framework and build process, as well as collaborative mechanisms. We then provide a pattern-matching algorithm and a behavioral sequence template for a simple introduction to this approach, and we explain how to use the collaborative model structure. Finally, the security situation of the entire network is analyzed by a quantitative situation evaluation model, cooperating with the network topology, and the threat type is determined by a D-S evidence theory algorithm. The experiment results show that, while running in an intranet security guard system of a large enterprise, a next-step attack can be predicted by our algorithm, and the security situation of the entire network can be accurately evaluated as well.
목차
Abstract
Introduction
Related Work
Collaboration Model
Detection of the Collaborative Model
Collaborative Situational Awareness based on the D-S Evidence Theory
Experimental Classification Results and Analysis
Conclusions
References
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UCI(KEPA) : I410-ECN-0101-2015-500-002466579