Safeguarding Buyers with Attack-Resilient Reputation Parameters

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1. Verfasser: Neeraj Kumar Sharma
Format: Artículo científico
Sprache:en
Veröffentlicht: Universidad de Talca 2016
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author Neeraj Kumar Sharma
author_facet Neeraj Kumar Sharma
contents Safeguarding Buyers with Attack-Resilient Reputation Parameters Neeraj Kumar Sharma Vibha Gaur Punam Bedi Multidisciplinaria (Ciencias Naturales y Exactas) market Attack Reputation Robustness resilience Agent-mediated reputation systems provide the necessary decision making support to facilitate the automation of processes, and to improve the quality of services in an information asymmetric e-market. Reputation systems encourage honest behavior and discourage malicious behavior of buyer and seller agents by safeguarding honest participants and by laying a foundation for security through social control mechanisms. In this paper, we propose a reputation system that aims to safeguard honest buyers from rogue behavior by counterparties and deceptive buying peers. It employs reputation functions with attack-resilient parameters based on the e-market parameters like value of the transaction and varying experience of agents.These parameters help to reduce the incentive for dishonest behavior, and to minimize harm in case of attacks by rogue sellers in order to improve the trustworthiness among participants in the e-market. 2016 artículo científico 0718-1876 https://www.redalyc.org/articulo.oa?id=96543661004 en http://www.redalyc.org/revista.oa?id=965 Journal of Theoretical and Applied Electronic Commerce Research application/pdf Universidad de Talca Journal of Theoretical and Applied Electronic Commerce Research (Chile) Num.1 Vol.11
format Artículo científico
id redalyc_96543661004
institution Redalyc
language en
publishDate 2016
publisher Universidad de Talca
spellingShingle Safeguarding Buyers with Attack-Resilient Reputation Parameters
Neeraj Kumar Sharma
Multidisciplinaria (Ciencias Naturales y Exactas)
market
Attack
Reputation
Robustness
resilience
Safeguarding Buyers with Attack-Resilient Reputation Parameters Neeraj Kumar Sharma Vibha Gaur Punam Bedi Multidisciplinaria (Ciencias Naturales y Exactas) market Attack Reputation Robustness resilience Agent-mediated reputation systems provide the necessary decision making support to facilitate the automation of processes, and to improve the quality of services in an information asymmetric e-market. Reputation systems encourage honest behavior and discourage malicious behavior of buyer and seller agents by safeguarding honest participants and by laying a foundation for security through social control mechanisms. In this paper, we propose a reputation system that aims to safeguard honest buyers from rogue behavior by counterparties and deceptive buying peers. It employs reputation functions with attack-resilient parameters based on the e-market parameters like value of the transaction and varying experience of agents.These parameters help to reduce the incentive for dishonest behavior, and to minimize harm in case of attacks by rogue sellers in order to improve the trustworthiness among participants in the e-market. 2016 artículo científico 0718-1876 https://www.redalyc.org/articulo.oa?id=96543661004 en http://www.redalyc.org/revista.oa?id=965 Journal of Theoretical and Applied Electronic Commerce Research application/pdf Universidad de Talca Journal of Theoretical and Applied Electronic Commerce Research (Chile) Num.1 Vol.11
title Safeguarding Buyers with Attack-Resilient Reputation Parameters
topic Multidisciplinaria (Ciencias Naturales y Exactas)
market
Attack
Reputation
Robustness
resilience
url https://www.redalyc.org/articulo.oa?id=96543661004