Earticle

초록

영어

Trust evaluation is increasingly important for collaboration in the Internet today. We propose a multi-dimensional evidence-Based trust evaluation model named EBTrust model, which expands the types and sources of evidence. We put both transaction feedback and the network operating behavior information into this model. And we improve the D-S evidence theory and propose a new rule of evidence synthesis that based on the conflict intensity (G) and efficient conflict (Gh), so we call it G-Gh synthesis rule, which can not only solve the high confliction and complete conflict feature of multi-dimensional evidences but also the problem of uncertainty in the process of trust evaluation. The example analysis and experimental results show that the EBTrust model can resist conspiracy and malicious comment behavior.

목차

Abstract
 1. Introduction
 2. Framework of EBTrust Model
 3. Evidence Preprocessing
  3.1 Preprocessing of E-commerce Feedback Evidence
  3.2 Preprocessing of Online Community Feedback Evidence
  3.3 Preprocessing of Operating Behavior Feedback Evidence
 4. Construction of Basic Trust Function
 5. G-Gh Synthesis Algorithm
  5.1 Conflict intensity G
  5.2 Weighted Average the Value of the Trust Allocation
  5.3 Efficient Conflict Gh
  5.4 Algorithm of G-Gh
 6. Experiment and Analysis
  6.1 Resistance of Conspiracy Behavior
  6.2 Resistance of Malicious Comment Behavior
 7. Conclusions
 References

키워드

저자

• Wenbao Jiang [ School of Information Management, Beijing Information Science &Technology University, Beijing, China ]
• Qijing Li [ School of Information Management, Beijing Information Science &Technology University, Beijing, China ]
• Wenliang Chen [ School of Information Management, Beijing Information Science &Technology University, Beijing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605