Gossip-Based Aggregation of Trust in Decentralized Reputation Systems
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 1470-1474.
Abstract
Decentralized Reputation Systems have recently emerged as a prominent method of establishing trust among self-interested agents in online environments. A key issue is the efficient aggregation of data in the system; several approaches have been proposed, but they are plagued by major shortcomings. We put forward a novel, decentralized data management scheme grounded in gossip-based algorithms. Rumor mongering is known to possess algorithmic advantages, and indeed, our framework inherits many of their salient features: scalability, robustness, globality, and simplicity. We also demonstrate that our scheme motivates agents to maintain a sparkling clean reputation, and is inherently impervious to certain kinds of attacks.
@inproceedings{ijcai2007p237,
title = {Gossip-Based Aggregation of Trust in Decentralized Reputation Systems},
author = {Procaccia, Ariel D. and Bachrach, Yoram and Rosenschein, Jeffrey S.},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {1470--1474},
year = {2007},
url = {https://ijcai.org/proceedings/2007/237},
}
TY - CPAPER TI - Gossip-Based Aggregation of Trust in Decentralized Reputation Systems AU - Procaccia, Ariel D. AU - Bachrach, Yoram AU - Rosenschein, Jeffrey S. T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 1470 EP - 1474 UR - https://ijcai.org/proceedings/2007/237 ER -Copied
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