A Taxonomy to Express Open Challenges in Trust and Reputation Systems

Social and socioeconomic interactions and transactions often require trust. In digital spaces, the main approach to facilitating trust has effectively been to try to reduce or even remove the need for it through the implementation of reputation systems. These generate metrics based on digital data such as ratings and reviews submitted by users, interaction histories, and so on, that are intended to label individuals as more or less reliable or trustworthy in a particular interaction context. We undertake a disclosive archaeology (Introna, 2014) of typical reputation systems, identifying relevant figuration agencies including affordances and prohibitions, (cyborg) identities, (cyborg) practices and discourses, in order to examine their ethico-political agency. We suggest that conventional approaches to the design of such systems are rooted in a capitalist, competitive paradigm, relying on methodological individualism, and that the reputation technologies themselves thus embody and enact this paradigm within whatever space they operate. We question whether the politics, ethics and philosophy that contribute to this paradigm align with those of some of the contexts in which reputation systems are now being used, and suggest that alternative approaches to the establishment of trust and reputation in digital spaces need to be considered for alternative contexts.

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Model checking of robustness properties in trust and reputation systems

Future Generation Computer Systems ◽

10.1016/j.future.2020.02.070 ◽

2020 ◽

Vol 108 ◽

pp. 302-319 ◽

Cited By ~ 1

Author(s):

Seyed Asgary Ghasempouri ◽

Behrouz Tork Ladani

Keyword(s):

Model Checking ◽

Reputation Systems ◽

Trust And Reputation

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Improving Trustworthiness in E-Market Using Attack Resilient Reputation Modeling

International Journal of Intelligent Information Technologies ◽

10.4018/ijiit.2014070104 ◽

2014 ◽

Vol 10 (3) ◽

pp. 57-82

Author(s):

Neeraj Kumar Sharma ◽

Vibha Gaur ◽

Punam Bedi

Keyword(s):

Asymmetric Information ◽

Moral Hazard ◽

Adverse Selection ◽

Reputation Systems ◽

Trust And Reputation ◽

Reputation Mechanisms ◽

Reputation Building ◽

Building Parameters

Asymmetric information is a major problem in e-commerce transactions as it gives rise to adverse selection and moral hazard problems. Reputation mechanisms provide a solution to this problem by discouraging fraudulent behavior and encouraging honest behavior of participants in the uncertain and un-trusted environment of e-market. This paper discusses trust and reputation relationships, and highlights the importance of key reputation building parameters to enhance trustworthiness of participants. Finally, it proposes reputation metrics that guard reputation systems from various attacks by malicious participants to improve the quality of e-market and presents a working prototype.

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