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- W1838009436 abstract "AbstractAutomated 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.KeywordsMemory ConsumptionClient SideServer NodeAccess Control PolicyDisjunctive Normal FormThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1838009436 date "2009-01-01" @default.
- W1838009436 modified "2023-09-26" @default.
- W1838009436 title "Memory Complexity of Automated Trust Negotiation Strategies" @default.
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- W1838009436 doi "https://doi.org/10.1007/978-3-642-11161-7_16" @default.
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