엔트로피를 이용한 분산 서비스 거부 공격 탐지에 효과적인 특징 생성 방법 연구An Effective Feature Generation Method for Distributed Denial of Service Attack Detection using Entropy
- Other Titles
- An Effective Feature Generation Method for Distributed Denial of Service Attack Detection using Entropy
- Authors
- 김태훈; 서기택; 이영훈; 임종인; 문종섭
- Issue Date
- 2010
- Publisher
- 한국정보보호학회
- Keywords
- distributed denial of service attack; feature generation; entropy
- Citation
- 정보보호학회논문지, v.20, no.4, pp.63 - 73
- Indexed
- KCI
- Journal Title
- 정보보호학회논문지
- Volume
- 20
- Number
- 4
- Start Page
- 63
- End Page
- 73
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/117384
- ISSN
- 1598-3986
- Abstract
- Malicious bot programs, the source of distributed denial of service attack, are widespread and the number of PCs which were infected by malicious bot program are increasing geometrically thesedays. The continuous distributed denial of service attacks are happened constantly through these bot PCs and some financial incident cases have found lately. Therefore researches to response distributed denial of service attack are necessary so we propose an effective feature generation method for distributed denial of service attack detection using entropy. In this paper, we apply our method to both the DARPA 2000 datasets and also the distributed denial of service attack datasets that we composed and generated ourself in general university. And then we evaluate how the proposed method is useful through classification using bayesian network classifier.
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- Appears in
Collections - School of Cyber Security > Department of Information Security > 1. Journal Articles
- College of Science and Technology > Department of Electronics and Information Engineering > 1. Journal Articles
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