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Research on Network Intrusion Detection Method based on Regular Expression Matching
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- 발행기관
- 보안공학연구지원센터(IJSIA) 바로가기
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- 간행물
- International Journal of Security and Its Applications SCOPUS 바로가기
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- 통권
- Vol.10 No.7 (2016.07)바로가기
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- 페이지
- pp.185-194
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A281828
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Along with the rapid development of network technology and the rich variety of network applications, all kinds of network attacks and abnormal behavior is more and more rampant, which seriously interferes with the normal operation of the Internet. Based on regular expression, this paper studies the method of network intrusion detection, and proposes an improved grouping algorithm (IGA) to improve Yu algorithm based on the concept of expansion coefficient (EC). And we use the modified regular expression grouping algorithm to effectively group the regular expression set. Based on the open source software, we implement the improved regular expression matching engine, and carry out the grouping algorithm experiments and performance testing experiment. The experimental results we obtained is that the overall state number of IGA algorithm number is reduced by an average 27% compared with the overall state number of Yu algorithm under the condition of the same number of clusters, and the compilation time of MRegex 1.5 increases with the increase of the number of rules compared with PCRE. We can draw the following conclusions: (1) the total number of DFA state of the IGA algorithm is reduced in the same number of cases, and it also can reduce the memory space of the memory DFA, and the space complexity of the matching algorithm. 2) It can improve the efficiency of intrusion detection system. 3) Compared with PCRE (Perl Compatible Regular Expressions), the compilation time of MRegex 1.5 increases with the increase of the number of rules, and its matching speed can meet the requirements of the detection of gigabit network traffic.
목차
Abstract
1. Introduction
2. Research Contents and methods
2.1. The Principle of Regular Expression, NFA and DFA
2.2. Regular Expression Grouping Algorithm
2.3. Regular Expression Matching Engine
2.4. Experimental Method
3. Experimental Results and Analysis
4. Conclusion
References
키워드
Regular expression Intrusion detection modified regular expression grouping algorithm road properties Yu algorithm저자
간행물 정보
발행기관
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- 발행기관명
- 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
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- 간행물명
- International Journal of Security and Its Applications
- 간기
- 격월간
- pISSN
- 1738-9976
- 수록기간
- 2008~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.10 No.7
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