An Adaptive Automated Trust Negotiation Model and Algorithm

Automated trust negotiation can realize automated trust establishment between strangers through credential exchange, which provides a new security solution to all open, distributed, dynamic environment. This paper proposes an Adaptive Automated Trust Negotiation (AATN) model, which can dynamically adjust negotiation strategies and access control policies according to trust evaluation, so as to attain balance between negotiation efficiency and privacy protection. The paper describes the framework, an adaptive negotiation strategy, and a trust evaluation algorithm (NBTVE) in AATN. The theoretical analysis and test results reveal that AATN model take both efficiency and security into account by using the adaptive negotiation strategy. Meanwhile, the experimental results also show that trust evaluation algorithm NBTVE in AATN is more reasonable, reliable and effective than transaction feedback-based trust evaluation algorithm.