On the analysis of reputation for agent-based web services

Autor:	Mohamed Adel Serhani, Jamal Bentahar, Babak Khosravifar, Mahsa Alishahi
Rok vydání:	2012
Předmět:	World Wide Web Artificial Intelligence Computer science media_common.quotation_subject General Engineering Web service computer.software_genre WS-Policy computer Mechanism (sociology) Computer Science Applications Reputation media_common
Zdroj:	Expert Systems with Applications. 39:12438-12450
ISSN:	0957-4174
DOI:	10.1016/j.eswa.2012.04.070
Popis:	Maintaining sound reputation requires robust control and investigation. In this paper, we analyze a reputation mechanism that objectively maintains accurate reputation evaluation of selfish agent-based web services. In the proposed framework, web services are ranked using their reputation as a result of provided feedback reflecting consumers' satisfaction. However, selfish web services may alter their public reputation level by managing to get fake feedback. We investigate the payoffs of different scenarios by focusing on the issues that discourage web services to act maliciously. We also analyze the details of the proposed mechanism by discussing simulation and empirical results that fully depict the system parameters and show the feasibility of the proposed approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d9bfaaff9901a13daa70d4534224c23f https://doi.org/10.1016/j.eswa.2012.04.070 Zobrazit plný text záznamu Full Text from ScienceDirect