Title
A Platform for the Evaluation of Distributed Reputation Algorithms.
Abstract
In distributed environments, where unknown entities cooperate to achieve complex goals, intelligent techniques for estimating agents' truthfulness are required. Distributed Reputation Management Systems (RMSs) allow to accomplish this task without the need for a central entity that may represent a bottleneck and a single point of failure. The design of a distributed RMS is a challenging task due to a multitude of factors that could impact on its performances. In order to support the researcher in evaluating the RMS robustness against security attacks since its beginning design phase, in this work we present a distributed simulation environment that allows to model both the agent's behaviors and the logic of the RMS itself. Moreover, in order to compare at simulation time the performance of the designed distributed RMS with a baseline obtained by an ideal RMS, we introduce an omniscient process called truth-holder which owns a global knowledge all involved entities. The effectiveness of our platform was proved by a set of experiments aimed at measuring the vulnerability of a RMS to a common set of security attacks.
Year
DOI
Venue
2018
10.1109/DISTRA.2018.8601020
DS-RT
Keywords
Field
DocType
agent-based simulation, distributed reputation management systems, multi-agent systems
Bottleneck,Single point of failure,Task analysis,Computer science,Modeling and simulation,Multi-agent system,Robustness (computer science),Real-time computing,Reputation,Distributed computing,Vulnerability
Conference
ISSN
ISBN
Citations 
1550-6525
978-1-5386-5048-6
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Vincenzo Agate154.84
Alessandra De Paola214116.81
Giuseppe Lo Re371.47
Marco Morana411114.78