The design of a reliable reputation system

Abstract

Next generation Web 2.0 communities and distributed P2P systems rely on the cooperation of diverse user populations spread across numerous administrative and security domains. Zero accountability via anonymous online identities and divergent interests result in selfish behavior that can disrupt or manipulate networks for personal gain. While "reputation systems" are recognized as a promising means to establish social control for such communities, developing reliable reputation systems remains a challenge. Several unaddressed threats still limit the effectiveness of reputation systems. Furthermore, most existing work on reputations has focused on accurate reputations for stable systems, but not examined the implications of integrating user reputations into scalable distributed infrastructures. The primary goal of this paper is to investigate and address the critical open challenges that limit the effectiveness of reputations. First, we identify a thorough taxonomy on reputation management, and use it as our framework to classify adversarial threats that compromise reliable operation of reputation systems. Second, we survey existing research to address these threats. Finally, we present our solutions to address the two leading reasons for erroneous and misleading values produced by reputation systems today, i.e., user collusion and short-lived online identities. We believe that this paper not only serves as an introduction to reputation systems design, but will also help researchers deploy reliable reputation solutions that contribute towards improving the performance of large distributed applications.

Social commerce—state-of-the-art and future research directions

“…The rising importance of security and privacy issues has fostered security and privacy policy research (6 %) in recent years (e.g., Aljukhadar et al 2010;Swamynathan et al 2010;Choi and Jiang 2013;Dhillon and Chowdhuri 2013;Phan and Cavusoglu 2013;Wilson et al 2014;Xu et al 2013). These articles solely investigate social networking sites (5 articles) and social shopping websites (2 articles).…”

“…They find that perceived impression management capabilities serve as a primary driver not only of perceived social benefits but also as primary driver of usage intentions and hence as key counterweight in the tension between users' benefits using online social networks and their privacy concerns. Concerning security issues in reputation systems, Swamynathan et al (2010) propose solutions to address the two main reasons for erroneous values produced by reputation systems, namely user collusion and short-lived online identities. Hence, all of these articles provide detailed and hands-on criteria that influence users' privacy and security concerns, which in turn enables businesses to get the most out of social commerce by reducing their customers' concerns.…”

Trust and Big Data: A Roadmap for Research

“…1. Generic process of a reputation system, inspired by [9] information are two areas being intensively studied. Among others, trust is one important topic at this juncture.…”

Reusability for Trust and Reputation Systems

“…Those steps were adapted from the three fundamental phases of reputation systems identified by [10] and [11]: feedback generation/collection, feedback aggregation and feedback distribution. Feedback aggregation as the central part of every trust and reputation system was furthermore divided into three process-steps filtering, weighting and aggregation taken together as computation.…”

“…1. Generic process of a reputation system, inspired by [10] Computation The computation phase is the central part of every reputation system which takes the reputation information collected as input and generates a trust/reputation value as output. This phase can be divided into the three generic process-steps filtering, weighting and aggregation.…”