Analysis of Trust Models to Improve E-Commerce Multi-Agent Systems

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 285)

Abstract

Agents in highly dynamic multi-agent environments can break contracts. Hence, trust models play a critical role in making better evaluations of unknown candidates, and better decisions about when, and who, to interact, especially in e-commerce. However, current trust models do not contain any standard components. It is noted that finding standard components are effective in designing a trust model which can support heterogeneous information related to multi-agent systems. This paper compares and analyzes some recent trust models based on three important components: reliability, similarity, and satisfaction. In addition, a comparison is made between the most representative models to point out significant strengths and weaknesses that exist in current trust models. The ultimate goal of this study is to define the relationship between these components. This analysis helps to identify the standard components of trust models for e-commerce multi-agent systems.

Keywords

E-commerce Multi-agent systems Reliability Satisfaction Similarity Trust model 

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References

  1. 1.
    Aref, M. M.: A multi-agent system for natural language understanding, in Proceedings of the International Conference on Integration of Knowledge Intensive Multi-Agent Systems, Cambrige MA, pp. 36–40 (2003).Google Scholar
  2. 2.
    Wang, Y., Vassileva, J.: A review on trust and reputation for web service selection, presented at the 27th International Conference on Distributed Computing Systems Workshops (ICDCSW’07), Toronto, Ontario, Canada (2007).Google Scholar
  3. 3.
    Xin, L.: Trust beyond reputation: Novel trust mechanisms for distributed environments, Nanyang Technological University (2011).Google Scholar
  4. 4.
    Zhou, L.: Organizational Knowledge Management Based on Social Network, in Second International Conference on Information and Computing Science (ICIC’09), pp. 289–292, Beijing, China (2009).Google Scholar
  5. 5.
    Walter, F., Battiston, S., Schweitzer, F.: Coping with information overload through trust-based networks, in Managing Complexity: Insights, Concepts, Applications, D. Helbing, Ed., ed Berlin Heidelberg: Springer Berlin Heidelberg, pp. 273–300 (2008).Google Scholar
  6. 6.
    Yu, T., Winslett, M., Seamons, K..: Automated trust negotiation over the internet, Proc. of Multiconference on Systemics, Cybernetics and Informatics (2002).Google Scholar
  7. 7.
    Wang, Y., Vassileva, J.: Bayesian network-based trust model, in Proceedings of IEEE/WIC International Conference on Web Intelligence (WI), pp. 372–378, Halifax, Canada (2003).Google Scholar
  8. 8.
    Lorenzi, F., Baldo, G., Costa, R., Abel, M., Bazzan, A., Ricci, F.: A Trust Model for Multiagent Recommendations, J. Emerging Technologies in Web Intelligence, 2, pp. 310–318 (2010).Google Scholar
  9. 9.
    Li Y. M., Kao, C. P.: TREPPS: A trust-based recommender system for peer production services, Expert systems with applications, 36, pp. 3263–3277 (2009).Google Scholar
  10. 10.
    Das, A., Islam, M. M., Sorwar, G.: Dynamic trust model for reliable transactions in multi-agent systems, in 13th International Conference on Advanced Communication Technology (ICACT), pp. 1101–1106, Korea (2011).Google Scholar
  11. 11.
    Kulasekera, A., Gopura, R., Hemapala, K., Perera, N.: A review on multi-agent systems in microgrid applications, in Innovative Smart Grid Technologies (ISGT India), pp. 173–177, IEEE Press, India (2011).Google Scholar
  12. 12.
    Shoham Y, Leyton-Brown, K.: Multiagent systems: Algorithmic, game-theoretic, and logical foundations: Cambridge University Press (2009).Google Scholar
  13. 13.
    Pipattanasomporn, M., Feroze, H., Rahman, S.: Multi-agent systems in a distributed smart grid: Design and implementation, in Power Systems Conference and Exposition, PSCE’09, pp. 1–8, IEEE Press (2009).Google Scholar
  14. 14.
    Jung, Y., Kim, M., Masoumzadeh, A., Joshi, J. B. D.: A survey of security issue in multi-agent systems, Artificial Intelligence Review, pp. 1–22 (2012).Google Scholar
  15. 15.
    Zacharia, G., Moukas, A., Maes, P.: Collaborative reputation mechanisms for electronic marketplaces, Decision support systems, 29, pp. 371–388 (2000).Google Scholar
  16. 16.
    Battiston, S., Walter, F. E., Schweitzer, F.: Impact of trust on the performance of a recommendation system in a social network, in Proceedings of the Workshop on Trust in Agent Societies at the Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS’06), pp. 1–15, United Kingdom (2006).Google Scholar
  17. 17.
    Woo, J. W., Hwang, M. J., Lee, C. G., Youn, H. Y.: Dynamic role-based access control with trust-satisfaction and reputation for multi-agent system, in Advanced Information Networking and Applications Workshops (WAINA) at IEEE 24th International Conference on Advanced Information Networking and Applications, pp. 1121–1126, Perth, Australia (2010).Google Scholar
  18. 18.
    Sundresh, T. S.: Semantic reliability of multi‐agent intelligent systems, J. Bell Labs Technical, 11, pp. 225–236 (2006).Google Scholar
  19. 19.
    Li, L., Li, H., Lu, G., Yao, S. W.: A Quantifiable Trust Model for Multi-agent System Based on Equal Relations, in International Conference on Computational Intelligence and Security, pp. 291–295, China (2007).Google Scholar
  20. 20.
    Garruzzo, S., Rosaci, D.: The roles of reliability and reputation in competitive multi agent systems, in On the Move to Meaningful Internet Systems: OTM, ed Berlin: Springer Berlin pp. 326–339, Heidelberg (2010).Google Scholar
  21. 21.
    Lu, J., Li, R., Lu, Z., Ma, X.: Primary-Backup Access Control Scheme for Securing P2P File-Sharing Systems, International J. Information Technology, 1, pp. 8–15 (2009).Google Scholar
  22. 22.
    Firdhous, M., Ghazali, O., Hassan, S.: Trust Management in Cloud Computing: A Critical Review, International J. Advances in ICT for Emerging Regions (ICTer), 4, pp. 24–36 (2012).Google Scholar
  23. 23.
    Hang, C. W., Wang, Y., Singh, M. P.: An adaptive probabilistic trust model and its evaluation, in Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems, pp. 1485–1488, Estoril, Portugal (2008).Google Scholar
  24. 24.
    Bustos, F., López, J., Julián, V., Rebollo, M.: STRS: Social Network Based Recommender System for Tourism Enhanced with Trust, in International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), pp. 71–79 (2009).Google Scholar
  25. 25.
    Das, A., Islam, M. M.: SecuredTrust: A Dynamic Trust Computation Model for Secured Communication in Multiagent Systems, Dependable and Secure Computing, IEEE Transactions on, 9, pp. 261–274 (2012).Google Scholar

Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  1. 1.Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala LumpurMalaysia

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