This paper deals with detecting an anomalous traffic area based on its distribution and distance measurements. On detecting anomalous traffic such as flooding attack traffic we should consider the packet attribute of the traffic. In order to identify that traffic, we compute entropy of selected packet attribute and Mahalanobis distance between normal and abnormal traffics. Chi-square test is used to evaluate the proposed method. Detection accuracy and performance are analyzed using real network traffic trace which consists the mostly backscatter of SYN flooding attack from LANDER project. The result of our proposed method indicates that it can show and offer significantly an accurate result.
목차
Abstract 1. Introduction 2. Related Work 3. Traffic Anomaly Detection 3.1. Entropy 3.2. Mahalanobis Distance 3.3. Chi-square Test 4. Experiment and Evaluation 4.1. Entropy Analysis of TCP Packets based on Flags 4.2. Entropy based Mahalanobis Distance Anomaly Detection 4.3. Chi-square Goodness of Fit Test 4. Implication and Conclusion Acknowledgements References
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.8 No.2