Interoperable strategies in automated trust negotiation
CCS '01 Proceedings of the 8th ACM conference on Computer and Communications Security
ACM Transactions on Information and System Security (TISSEC)
IEEE Internet Computing
Towards Practical Automated Trust Negotiation
POLICY '02 Proceedings of the 3rd International Workshop on Policies for Distributed Systems and Networks (POLICY'02)
A Dynamic Programming Approach to Automated Trust Negotiation for Multiagent Systems
RRS '05 Proceedings of the Rational, Robust, and Secure Negotiation Mechanisms in Multi-Agent Systems (RRS'05) on Multi-Agent Systems
On Interoperable Trust Negotiation Strategies
POLICY '07 Proceedings of the Eighth IEEE International Workshop on Policies for Distributed Systems and Networks
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Automated Trust Negotiation(ATN) has been proposed as a mechanism to establish mutual trust among strangers. Protocols and strategies to be used during ATN have also been studied. When considering the real world usage of ATN, there are many factors to be considered. One of the factors that has not been addressed by previous studies is the memory complexity of negotiation strategies. This paper analyses the memory complexities of previously proposed negotiation strategies and evaluates the average memory consumption through simulations using an ATN framework for web services. The experimental results revealed that memory complexity of Parsimonious strategy grows exponentially as the number of credentials increases, which is consistent with the theoretical analysis. As a solution, a method to reduce the memory consumption by exploiting the knowledge each entity has about the negotiation is presented. In addition, the paper presents a new criterion that enables the truncation of the negotiation to reduce the memory consumption in situations where the negotiation fails. Experiment results, which show the effectiveness of above methods in reducing the memory consumption, negotiation length are also presented.