Certain trust: a trust model for users and agents

ABSTRACT

One of the challenges for ubiquitous computing and P2P systems is to find reliable partners for interactions. We believe that this problem can be solved by assigning trust values to entities and allowing them to state opinions about the trust-worthiness of others. In this paper, we develop a new trust model, called Certain Trust, which can easily be interpreted and adjusted by users and software agents. A key feature of Certain Trust is that it is capable of expressing the certainty of a trust opinion, depending on the context of use. We show how the trust values can be expressed using different representations (one for users and one for software agents) and present an automatic mapping to change between the representations.

REFERENCES

• 1: Steffen Staab , Bharat Bhargava , Leszek Lilien , Arnon Rosenthal , Marianne Winslett , Morris Sloman , Tharam S. Dillon , Elizabeth Chang , Farookh Khadeer Hussain , Wolfgang Nejdl , Daniel Olmedilla , Vipul Kashyap, The Pudding of Trust, IEEE Intelligent Systems, v.19 n.5, p.74-88, September 2004 [doi>10.1109/MIS.2004.52]
• 2: V. Cahill et al. Using trust for secure collaboration in uncertain environments. IEEE Pervasive Computing, 2/3:52--61, July 2003.
• 3: M. Carbone, M. Nielsen, and V. Sassone. A formal model for trust in dynamic networks. In Proc. of IEEE International Conference on Software Engineering and Formal Methods, September 2003. IEEE Computer Society.
• 4: Jennifer Ann Golbeck , James Hendler, Computing and applying trust in web-based social networks, University of Maryland at College Park, College Park, MD, 2005
• 5: Audun Jøsang, A logic for uncertain probabilities, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, v.9 n.3, p.279-311, June 2001
• 6: A. Jøsang and R. Ismail. The beta reputation system. In Proceedings of the 15th Bled Conference on Electronic Commerce, June 2002.
• 7: A. Jøsang, R. Ismail, and C. Boyd. A survey of trust and reputation systems for online service provision. In Decision Support Systems, 2005.
• 8: Sepandar D. Kamvar , Mario T. Schlosser , Hector Garcia-Molina, The Eigentrust algorithm for reputation management in P2P networks, Proceedings of the 12th international conference on World Wide Web, May 20-24, 2003, Budapest, Hungary [doi>10.1145/775152.775242]
• 9: S. Marsh. Formalising Trust as a Computational Concept. PhD thesis, University of Stirling, 1994.
• 10: L. Mui , M. Mohtashemi , A. Halberstadt, A Computational Model of Trust and Reputation for E-businesses, Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7, p.188, January 07-10, 2002
• 11: S. Ries, J. Kangasharju, and M. Mühlhäuser. A classification of trust systems. In Proceedings of the International Workshop on MObile and NEtworking Technologies for social applications, 2006.
• 12: Jordi Sabater , Carles Sierra, Reputation and social network analysis in multi-agent systems, Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1, July 15-19, 2002, Bologna, Italy [doi>10.1145/544741.544854]
• 13: Jordi Sabater , Carles Sierra, Review on Computational Trust and Reputation Models, Artificial Intelligence Review, v.24 n.1, p.33-60, September 2005 [doi>10.1007/s10462-004-0041-5]
• 14: J.-M. Seigneur, S. Farrell, C. D. Jensen, E. Gray, and Y. Chen. End-to-end trust starts with recognition. In First International Conference on Security in Pervasive Computing, Mar. 2003.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.m MISCELLANEOUS

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence

General Terms:
Design, Security, Theory

Keywords:
evidence, recommendations, trust model, user interface