---
title: "Gossip-Based Aggregation of Trust in Decentralized Reputation Systems"
authors:
  - "Ariel D. Procaccia"
  - "Yoram Bachrach"
  - "Jeffrey S. Rosenschein"
doi: ""
url: "https://ijcai.org/proceedings/2007/237"
pdf: "https://ijcai.org/proceedings/2007/0237.pdf"
venue: "Proceedings of the Twentieth International Joint Conference on Artificial Intelligence"
year: 2007
pages: "1470-1474"
track: ""
keywords:
---

# Gossip-Based Aggregation of Trust in Decentralized Reputation Systems

Ariel D. Procaccia, Yoram Bachrach, Jeffrey S. Rosenschein

*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.