This paper Through an analysis of the worm propagation behavior, found that there are certain constraints relationship of network size to the propagation speed of the worm . On this basis, network segmentation algorithm based on DFS is proposed to reduce the size of the network, in order to gain subnet boundaries , in order to further suppress the spread of worms provide a theoretical basis , provide reference and basis for the erection of a network worm isolation system. the method of using DFS network segmentation algorithm based on network topology was proposed to solve large-scale network analysis. It provides a strong theoretical support for fast access network backbone node. The result of experiment shows that the proposed method is effective.
목차
Abstract 1. Introduction 2. Effect of Network Size on Worm Propagation 2.1 Worm Propagation Stage 2.2 Network Size and Worms Coverage 2.2 The Simulation Results 3. DFS Partition Algorithm Thought and Realization of Graphs 4. Network Segmentation Algorithm based on DFS 5. VDU Model 6. Conclusion 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.9 No.9