Gossip-Based Aggregation of Trust in Decentralized Reputation Systems
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. URL: http://www.cs.huji.ac.il/~arielpro/papers/trust.ijcai.pdf
Cite
Text
Procaccia et al. "Gossip-Based Aggregation of Trust in Decentralized Reputation Systems." International Joint Conference on Artificial Intelligence, 2007. doi:10.1007/s10458-008-9073-6Markdown
[Procaccia et al. "Gossip-Based Aggregation of Trust in Decentralized Reputation Systems." International Joint Conference on Artificial Intelligence, 2007.](https://mlanthology.org/ijcai/2007/procaccia2007ijcai-gossip/) doi:10.1007/s10458-008-9073-6BibTeX
@inproceedings{procaccia2007ijcai-gossip,
title = {{Gossip-Based Aggregation of Trust in Decentralized Reputation Systems}},
author = {Procaccia, Ariel D. and Bachrach, Yoram and Rosenschein, Jeffrey S.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2007},
pages = {1470-1475},
doi = {10.1007/s10458-008-9073-6},
url = {https://mlanthology.org/ijcai/2007/procaccia2007ijcai-gossip/}
}