Trust Inference in Web-Based Social Networks Using Resistive Networks

By the immense growth of the Web-based social networks (WBSNs), the role of trust in connecting people together through WBSNs is getting more important than ever. In other words, since the probability of malicious behavior in WBSNs is increasing, it is necessary to evaluate the reliability of a person before trying to communicate with. Hence, it is desirable to find out how much a person should trust another one in a network. The approach to answer this question is usually called trust inference. In this paper, we propose a new trust inference algorithm (called RN-trust) based on the resistive networks concept. The algorithm, in addition to being simple, resolves some problems of previously proposed approaches. The analysis of the algorithm demonstrates that RN-trust calculates the trust values more accurately than previous approaches.

[1]  Daniel W. Manchala,et al.  Trust metrics, models and protocols for electronic commerce transactions , 1998, Proceedings. 18th International Conference on Distributed Computing Systems (Cat. No.98CB36183).

[2]  Jordi Sabater-Mir,et al.  Reputation and social network analysis in multi-agent systems , 2002, AAMAS '02.

[3]  Georg Lausen,et al.  Spreading activation models for trust propagation , 2004, IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004.

[4]  Audun Jøsang,et al.  Optimal Trust Network Analysis with Subjective Logic , 2008, 2008 Second International Conference on Emerging Security Information, Systems and Technologies.

[5]  Mohsen Lesani,et al.  Fuzzy Trust and Combining Information , 2006 .

[6]  Nathan Griffiths,et al.  Fuzzy Trust for Peer-to-Peer Systems , 2006, 26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06).

[7]  James A. Hendler,et al.  Inferring binary trust relationships in Web-based social networks , 2006, TOIT.

[8]  Mohsen Lesani,et al.  Applying and Inferring Fuzzy Trust in Semantic Web Social Networks , 2006, CSWWS.

[9]  Giorgio Rizzoni,et al.  Principles and Applications of Electrical Engineering , 1993 .

[10]  Audun Jøsang,et al.  The consensus operator for combining beliefs , 2002, Artif. Intell..

[11]  Jennifer Golbeck,et al.  Computing and Applying Trust in Web-based Social Networks , 2005 .

[12]  Alexander Aiken,et al.  Attack-Resistant Trust Metrics for Public Key Certification , 1998, USENIX Security Symposium.

[13]  Audun Jøsang,et al.  A Logic for Uncertain Probabilities , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[14]  Hector Garcia-Molina,et al.  The Eigentrust algorithm for reputation management in P2P networks , 2003, WWW '03.

[15]  Audun Jøsang,et al.  Trust network analysis with subjective logic , 2006, ACSC.

[16]  Matthew Richardson,et al.  Trust Management for the Semantic Web , 2003, SEMWEB.

[17]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[18]  Giorgio Rizzoni.  Principles And Applications Of Electrical Engineering, 5Th Edition , 2007 .