A Computational Dynamic Trust Model for User Authorization
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Abstract
Improvement of authorization process for protected information access by a large society of users in an open environment is an important problem in today’s Internet world. In this paper we propose a computational dynamic trust model for user authorization, rooted in findings from social science. Unlike most existing computational trust models, this model distinguishes trusting belief in integrity from that in capability in different contexts and accounts for subjectivity in the evaluation of a particular trustee by different trusters. Many Model studies were conducted to evaluate the presentation of the proposed integrity belief model with other trust models from the creative writing for different user behavior patterns. Results showed that the proposed model resulted in higher performance than other models especially in predicting the behavior of unbalanced users.
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References
G.R. Barnes and P.B. Cerrito, “A mathematical model for interpersonal relationships in social networks,” Social Networks, vol. 20, no. 2, pp. 179- 196, 1998.
R. Brent, Algorithms for Minimization Without Derivatives. Englewood Cliffs, NJ: Prentice-Hall, 1973.
A. Das, and M.M. Islam. “SecuredTrust: a dynamic trust computation model for secured communication in multiagent systems,” IEEE Trans. Dependable Sec. Comput., vol. 9, no. 2, pp. 261-274, 2012.
C. Dellarocas, “Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior,” in Proc. 2nd ACM Conference on Electronic Commerce, 2000, pp. 150- 157.
L. Fan et al., “A grid authorization mechanism with dynamic role based on trust model,” Journal of Computational Information Systems, vol. 8, no. 12, pp. 5077-5084, 2012.
T. Grandison and M. Sloman, “A survey of trust in internet applications,” IEEE Communications Surveys, vol. 3, no. 4, pp. 2-16, 2000.
J.D. Hamilton, Time Series Analysis. Princeton, NJ: Princeton University Press, 1994.
J. Hu, Q. Wu, and B. Zhou, “FCTrust: A Robust and Efficient Feedback Credibility-Based Distributed P2P Trust Model,” In Proc. IEEE Ninth Int’l Conf. Young Computer Scientists (ICYCS ’08), 2008, pp. 1963-1968.
B. Lang, “A Computational Trust Model for Access Control in P2P,” Science China Information Sciences, vol. 53, no. 5, pp. 896-910, May, 2010.
C. Liu and L. Liu, “A trust evaluation model for dynamic authorization,” In Proc. International Conference on Computational Intelligence and Software Engineering (CiSE), 2010, pp. 1-4.
X. Long, and J. Joshi, “BaRMS: A Bayesian Reputation Management Approach for P2P Systems,” Journal of Information & Knowledge Management, vol. 10, no. 3, pp. 341-349, 2011.
S. Ma and J. He, “A Multi-dimension dynamic trust evaluation model based on GA,” In Proc. 2nd International Workshop on Intelligent Systems and Applications, 2010, pp. 1-4.
S. Marsh, “Formalizing Trust as a Concept,” Ph.D. dissertation, Dept . Comp. Science and Math., Univ. Stirling, U.K., 1994.
P. Matt, M. Morge and F. Toni, “Combining Statistics and Arguments to Compute Trust,” In Proc. AAMAS, 2010, pp. 209-216.
D. McKnight, V. Choudhury and C. Kacmar, “Developing and validating trust measures for ecommerce: an integrative topology,” Information Systems Research, vol. 13, no. 3, pp. 334-359, September, 2002.
D. McKnight and N.L. Chervany, “Conceptualizing trust: a typology and e-commerce customer relationship model,” In Proc. HICSS-34, 2001.
W. Mendenhall and R.J. Beaver, Introduction to Probability and Statistics. Boston, MA: PWS-Kent Pub. Co., 1991.
A. Nagarajan and V. Varadharajan, “Dynamic trust enhanced security model for trusted platform based services,” Future Generation Computer Systems, vol. 27, pp. 564-573, 2011.
J.M. Pujol, R. Sangesa and J. Delgado, “Extracting reputation in multi agent systems by means of social network topology,” In Proc. AAMAS, 2002, pp. 467-474.
J. Sabater and C. Sierra, “Social ReGreT, a reputation model based on social relations,” ACM SIGecom Exchanges, vol. 3, no. 1, pp. 44-56, 2002.
F. Skopik, D. Schall and S. Dustdar, “Modeling and mining of dynamic trust in complex serviceoriented systems,” Information Systems, vol. 35, pp. 735-757, 2010.
F.E. Walter, S. Battiston and F. Schweitzer, “Personalized and Dynamic Trust in Social Networks,” In Proc. ACM Conference on Recommender Systems (RecSys’09), 2009, pp. 197- 204.
X. Wang and L. Wang, “P2P Recommendation Trust Model,” In Proc. IEEE Eighth Int’l Conf. Intelligent Systems Design and Applications (ISDA ’08), 2008, pp. 591-595.
B. Yu and M.P. Singh, “An evidential model of distributed reputation management,” In Proc. AAMAS, 2002, pp. 294-301.
Y. Zhang, S. Chen and G. Yang, “SFTrust: A Double Trust Metric Based Trust Model in Unstructured P2P Systems,” In Proc. IEEE Int’l Symp. Parallel and Distributed Processing (ISPDP ’09), 2009, pp. 1-7.