Abstract
Reputation provides an operable metric for trust establishment between unknown entities in Grid. Yet, most reputation evaluation methods rarely analyze an entity’s past behaviors, which is a deviation from the definition of reputation: an expectation for future behaviors based on past behavior information. Therefore, we propose this behavior-based method for reputation evaluation. The main idea is that: according to reputation evidences from third parties, behavior characteristics such as behavior coherence, behavior inertia etc will be well abstracted, and reputation evaluation will be better guided. Experimental results show that: this method can effectively characterize an entity’s behavior, and the final reputation result is reasonable and reliable.
This work is partially supported by the National 863 High Technology Plan of China under the grant No. 2002AA1Z201, China 863 OS New Technologies Research under the grant No. 2003AA1Z2063 and the Grid Project sponsored by China ministry of education under the grant No. CG2003-GA00103.
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Qu, X., Yang, X., Tang, Y., Zhou, H. (2005). A Behavior Characteristics-Based Reputation Evaluation Method for Grid Entities . In: Sloot, P.M.A., Hoekstra, A.G., Priol, T., Reinefeld, A., Bubak, M. (eds) Advances in Grid Computing - EGC 2005. EGC 2005. Lecture Notes in Computer Science, vol 3470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508380_58
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DOI: https://doi.org/10.1007/11508380_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26918-2
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