A survey of trust and reputation systems for online service provision

By Audun Jøsang, Roslan Ismail, Colin Boyd. Decision Support Systems, 2007

3,843 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e05947c151f21dd76fb59196923b7e2076fdd8cd

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Citations in the corpus

Information theoretic framework of trust modeling and evaluation for ad hoc networks (2006, background): “The research on trust evaluation has been extensively performed for a wide range of applications, including public key authentication [6]–[15], electronics commerce [16]–[18],”
Critical infrastructure protection: Requirements and challenges for the 21st century (2015, background): “The computation of the concept of trust and reputation can be carried out through different approaches where their models can be based on logic, graph theory, bayesian networks, or on particular centralized architectures [51].”
Trustworthiness Management in the Social Internet of Things (2014, methodology): “…we envision two possible models for the implementation of the Trustworthiness management component, based on the dimension of trust semantics [43]: 1) Subjective trustworthiness , derived from a social point of view, where each node p i computes the trust-worthiness of its N i friends on the…”
Recruitment Framework for Participatory Sensing Data Collections (2010, methodology): “Although this model is helpful for individuals to quickly determine a meaning for a reputation measure, it is not mathematically tractable and has no method to determine reputation confidence [28].”
Recommender systems survey (2013, background): “Trust and reputation is an important area of research in RS [166]; this area is closely related to the social information currently included in RS [114].”
Computational trust and reputation models for open multi-agent systems: a review (2011, background): “The model presented by Kuhlen (1999)2 does not come from the area of multiagent systems, but from economics, facing trust management issues to make electronic commerce more reliable.”
Antecedents and consequences of service quality in a higher education context: A qualitative research approach (2013, background): “Customer trust in a brand increases brand reputation (Jøsang et al., 2007), which is a close representation of brand performance (Harris and de Chernatony, 2001).”
The Internet of Things, Fog and Cloud Continuum: Integration and Challenges (2018, background): “For completeness, we can consider reputation systems [119], but these must also rely on establishing identity of one type or another.”
Recommender Systems (2012, methodology): “To make a better use of social relationships, various recommendation algorithms relying explicitly on trust or user reputation [243,244] have been developed and applied by many commercial web sites such as eBay.com [245].”
Security and Privacy Issues of Fog Computing: A Survey (2015, methodology): “Trust Model Reputation based trust model [18] has been successful in eCommerce, peer-to-peer (P2P), user reviews and online social networks.”
Trusted P2P transactions with fuzzy reputation aggregation (2005, background): “However, good reputation is hard to be quantified with so many dynamic factors involved [1], [2], [4], [6], [8], [9].”
The Passions and the Interests: Unpacking the 'Sharing Economy' (2016, background): “…a growing body of literature (Abdul-Rahman & Hailes, 2000; Ba, 2001; Burnham, 2011; Corritore et al., 2003; Gefen et al., 2008; Hogg & Adamic, 2004; Jøsang et al., 2007; Kwan & Ramachandran, 2009; Pavlou & Gefen, 2004; Swamynathan et al., 2008), only five empirical contributions focussing on…”
Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures (2012, background): “But it is clearly different with trust in definition, as illustrated by the following statements (Jøsang et al., 2007):”