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Research on Intrusion Detection Algorithm of User Data based on Cloud Computing
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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.9 No.9 (2015.09)바로가기
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- 페이지
- pp.275-284
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A254122
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Cloud computing is a new computing model, it will be large-scale computing resource interconnection were effectively integrated, and the computing resources available to users in the form of services. The user can at any time according to need to access a virtual computer and storage system using a broadband network, without the need to test the underlying anxiety complex implementation and management, greatly reduce the difficulty of realization and hardware investment users. Cloud computing effectively the actual resources and virtual service separation reduce all kinds of business service costs, improve the utilization of network resources. The main work of this paper includes: first introduced the current cloud environment security threat, attack and common intrusion detection technology, summarizes the advantages and disadvantages of the proposed at the present stage of intrusion detection system under the cloud environment. Then the research on the analysis of the fuzzy C mean clustering algorithm for intrusion detection exist deficiencies in a cloud environment, the improvement and optimization of its, and the improved algorithm for parallel implementation of map reduce, to solve the clustering problem of the magnanimity data.
목차
Abstract
1. Introduction
2. Related Theory of Intrusion Detection
2.1. Research Status of Intrusion Detection Algorithm
2.2. The Existing Intrusion Detection System in Cloud Environment Problem
3. Research on Intrusion Detection Clustering Method
3.1 Fuzzy C Means Algorithm
3.2 Throwing Type Fuzzy C Means Algorithm
3.3 Intrusion Detection System based on Cloud Model
3.4 The Architecture of HDFS
3.5. The MapReude Programming Model
4. The Experimental Analysis
4.1 The Intrusion Detection Data Dimension Reduction Performance Evaluation
4.2 Intrusion Detection Time Evaluation
4.3 The Experimental Results and Analysis
5. Conclusion
References
키워드
Cloud computing security storage symmetric encryption intrusion detection저자
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.9 No.9
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