History-based trust negotiation model

Trust negotiation （TN） is an approach to establish trust between strangers through iterative disclosure of digital credentials. Speeding up subsequent negotiations between the same negotiators is a problem worth of research. This paper introduces the concept of visiting card, and presents a history-based trust negotiation （HBTN） model. HBTN creates an account for a counterpart at the first negotiation and records valid credentials that the counterpart disclosed during each trust negotiation in his historical information base （HIB）. For the following negotiation, no more credentials need to be disclosed for both parties. HBTN speeds up subsequent negotiations between the entities that interact with each other frequently without impairing the privacy preservation.

Privacy-Preserving Trust Negotiation with Hidden Credentials and Hidden Policies in a Multi-Party Environment

Until now, there are numerous protocols that can achieve privacy-preserving trust negotiation between two parties involved, but there is no effective privacy-preserving trust negotiation schemes proposed between multi-users. In this paper, a privacy-preserving trust negotiation scheme with multi-parties is proposed, which can protect their credentials and access control policies during the procedure for establishing the trust between multi-strangers, and its privacy-preserving ability also is proved. These works extend the trust negotiation mechanism to multi-users, which can be thought as a substantial extension of the state-of-the-art in privacy-preserving trust negotiations between two parties involved.

An efficient trust negotiation strategy towards the resource-limited mobile commerce environment

Automated trust negotiation （ATN） offers an at- tractive means for trust establishments, which establishes mu- tual trust among strangers wishing to share resources or con- duct business, but it comes at the cost of non-trivial computa- tion and communication overheads. The deployment of ATN strategies on a resource-constrained mobile device may lead to user-obstructive latency for operations. In this paper, we propose a trust negotiation strategy called trust target Petri nets negotiation strategy （TPNNS）. It highly reduces the ne- gotiation latency in the mobile device compared with other negotiation strategies, since it considers all the alternative re- sponses at each step and chooses the best one. TPNNS sup- ports cycle avoidance and employs skipped TPN which is a new approach presented in this paper. What is more, it is complete and ensures no irrelevant credentials are disclosed during the trust negotiation.

Resolving conflicts between negotiation success and sensitive information protection in automated trust negotiation

Automated trust negotiation （ATN） is an approach to establishing mutual trust between strangers wishing to share resources or conduct business by gradually requesting and disclosing digitally signed credentials. In ATN, there are conflicts between negotiation success and sensitive information protection, that is, these two needs cannot be given priority at the same time, which is a challenging problem to resolve. In this paper, a language independent ATN framework, which is dynamic, flexible and adaptive, is presented to address this problem, ensuring negotiation success without sensitive information leakage. This framework is independent of the policy language which is used. However, the language used should have the capability to specify all kinds of sensitive information appearing in credentials and policies, and support the separation of attribute disclosure from credential disclosure. Thus definitions of new language features, which can be incorporated into existing policy languages, are given, enabling the used language to support the capabilities mentioned above.