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Research on Computer Network Virus Defense Technology in Cloud Technology Environmen
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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.3 (2016.03)바로가기
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- 페이지
- pp.447-458
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A271018
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- With the rapid development of the Internet, the antivirus software of the network is always emerging and constantly changing. Traditional detection methods can’t effectively kill the new viruses and malicious software, the complexity of which also makes itself easy to be attacked by malicious software. The emergence of cloud computing has changed the status quo. Therefore, the architecture model of virus malware detection based on cloud computing is proposed in this paper. Based on the combination of the method for detecting malicious software virus based on cloud computing and the algorithm analysis theory in machine learning, a new type of distributed CFO algorithm is proposed, and the closed environment of cloud computing virtual machine nodes is used to realize dynamic behavior monitoring to the virus malware, then the distributed fluctuations PIF algorithm is used to describe the process of dynamic analysis and analysis reporting, besides, the wave algorithm is carried out corresponding improvement based on the analysis of the environment. Experimental results show that the model can detect the conditional trigger behavior of virus malware, so as to find the conditions for triggering malicious behavior and the input data that satisfy these conditions and the performance of this monitoring system is greatly improved compared with the common single machine system.
목차
Abstract
1. Introduction
2. Research Statuses
3 .Key Technologies
3.1 Cloud Technology
3.2 Eucalyptus
3.3 PIF Algorithm
3.4 CFO Algorithm
4 . Virus Detection System based on Cloud Computing
4.1 Overall Framework
4.2 Distributed Light Detection Engine
4.3 Dynamic Behavior Analysis system of Virus Malware
4.4 Static Behavior Analysis System of Virus Malware
5 .Experimental Analyses
6. Conclusion
References
키워드
cloud computing virus malware analysis behavior based detection central gravity optimization 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.3
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