Abstract
In this paper, we propose a Bayesian network-based trust model in peer-to-peer networks. Since trust is multi-faceted, even in the same context, peers still need to develop differentiated trust in different aspects of other peers’ behaviors. The peer’s needs are different in different situations. Depending on the situation, a peer may need to consider its trust in a specific aspect of another peer’s capability or in a combination of multiple aspects. Bayesian networks provide a flexible method to represent differentiated trust and combine different aspects of trust.
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Wang, Y., Vassileva, J. (2004). Bayesian Network Trust Model in Peer-to-Peer Networks. In: Moro, G., Sartori, C., Singh, M.P. (eds) Agents and Peer-to-Peer Computing. AP2PC 2003. Lecture Notes in Computer Science(), vol 2872. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25840-7_3
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DOI: https://doi.org/10.1007/978-3-540-25840-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24053-2
Online ISBN: 978-3-540-25840-7
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