Trust management is fundamental to identify malicious, selfish and compromised nodes which have been authenticated. It has been widely studied in many network environments such as peer-to-peer networks, grid and pervasive computing and so on. In the paper, we propose a trust model (TM) based on fuzzy logic inferences, which can better handle uncertainty, fuzziness, and incomplete information in cloud trust reports. The experiments are performed in order to test the accuracy of the TM as compared to a data storage system where no trust model is implemented.
목차
Abstract 1. Introduction 2. Related Work 2.1. Security in the Cloud 2.2. Trust in the Cloud 3. Trust Model 3.1. Trust Computation 3.2. Simulated Performance Results 4. Conclusion Acknowledgements References
키워드
cloud computingtrust modelfuzzy logic
저자
Xu Wu [ Department of Computer Science, Xi’an University of Posts and Telecommunications, Xi’an, China Department of Computer Science and Technology, Xian Jiaotong University, Xi’an, China ]
보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
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 Hybrid Information Technology
간기
격월간
pISSN
1738-9968
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.8 No.3