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This work introduces a negotiation strategy based on uncompromising degree. Agents get information of the negotiation opponents in each iteration by means of Bayesian learning mechanism, and then bring forward the proposals for the next iteration according to the negotiation strategy based on uncompromising degree. We analyze Bayesian learning mechanism and(More)
We introduce a new lightweight generic compiler that is able to transform any passively forward secure two-message key exchange (KE) protocols into authenticated key exchange (AKE) protocols with security in the presence of active adversaries who can reveal critical session specific information such as long-term or ephemeral secrets and can establish(More)
—Many characteristics of complex networks, such as small-world, scale-free, aggregation properties, and so on have been thoroughly studied. Super-node structure is an important way to resolve the problem of service node selection in complex network. Two key issues of this method are how to define the scope of super-nodes in their respective communities and(More)
Automated negotiation is a key form of interaction in agent-based systems. One-to-many negotiation, one of the typical negotiation modes, which can be treated as multiple, concurrent one-to-one bilateral negotiations, is discussed as well as its coordination strategy in this paper. A flexible one-to-many negotiation system is proposed. Compared with the(More)
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