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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2014 - 6

On the Optimality of Trust Network Analysis with Subjective Logic

PARK, Y. See more information about PARK, Y. on SCOPUS See more information about PARK, Y. on IEEExplore See more information about PARK, Y. on Web of Science
 
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Download PDF pdficon (831 KB) | Citation | Downloads: 725 | Views: 3,809

Author keywords
trust, reputation, subjective logic, trust networks, identity management system

References keywords
trust(12), networks(6), josang(5), optimization(4), management(4), computing(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 49 - 54
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03006
Web of Science Accession Number: 000340869800006
SCOPUS ID: 84907335535

Abstract
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Building and measuring trust is one of crucial aspects in e-commerce, social networking and computer security. Trust networks are widely used to formalize trust relationships and to conduct formal reasoning of trust values. Diverse trust network analysis methods have been developed so far and one of the most widely used schemes is TNA-SL (Trust Network Analysis with Subjective Logic). Recent papers claimed that TNA-SL always finds the optimal solution by producing the least uncertainty. In this paper, we present some counter-examples, which imply that TNA-SL is not an optimal algorithm. Furthermore, we present a probabilistic algorithm in edge splitting to minimize uncertainty.


References | Cited By  «-- Click to see who has cited this paper

[1] A. Josang, T. Bhuiyan, "Optimal Trust Network Analysis with Subjective Logic," in Proc. of 2nd SECURWARE 2008, Aug. 2008, pp. 179-184.
[CrossRef] [SCOPUS Times Cited 90]


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[CrossRef] [SCOPUS Times Cited 177]


[3] A. Josang, R. Hayward, S. Pope, "Trust Network Analysis with Subjective Logic," in Proc. of 29th ACSC2006, Jan. 2006, pp. 85-94.

[4] L. Ding, P. Kolari, S. Ganjugunte, T. Finin, A. Joshi, "Modeling and Evaluating Trust Network Inference," In Proc. of 7th AAMAS'2004, July 2004, pp. 21-32.

[5] P. Massa, P. Avesani, "Controversial users demand local trust metrics: an experimental study on Epinions.com community," in Proc. of 20th national conference on Artificial intelligence -Vol.1, 2005, pp. 121-126.

[6] L. Page, S. Brin, R. Motwani, T. Winograd, "The PageRank Citation Ranking: Bringing Order to the Web," Stanford InfoLab Technical Report, SIDL-WP-1999-0120, 1999.

[7] S. D. Kamvar, M. T. Schlosser, H. Garcia-Molina, "The Eigentrust algorithm for reputation management in P2P networks," in Proc. of the 12th international conference on World Wide Web, 2003, pp. 640-651.
[CrossRef] [SCOPUS Times Cited 2900]


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[CrossRef] [SCOPUS Times Cited 15]


[9] J. Lopez, R. Roman, I. Agudo, C. Fernandez-Gago, "Trust management systems for wireless sensor networks: Best practices," Computer Communications, Vol. 33, No. 9, pp. 1086-1093, 2010.
[CrossRef] [Web of Science Times Cited 136] [SCOPUS Times Cited 207]


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[CrossRef] [SCOPUS Times Cited 33]


[11] A. Josang, D. McAnally, "Multiplication and Comultiplication of Beliefs," International Journal of Approximate Reasoning, Vol. 38, No. 1, pp. 19-51, 2004.
[CrossRef] [Web of Science Times Cited 35] [SCOPUS Times Cited 64]


[12] U. Maurer, "Modeling a Public-Key Infrastructure," in Proc. of ESORICS-LNCS Vol. 1136, 1996, pp. 325-350.

[13] A. Gutscher, "A Trust Model for an Open, Decentralized Reputation System," in Proc. IFIPTM, 2007, pp. 285-300.
[CrossRef] [SCOPUS Times Cited 33]


[14] T. Sun, M. K. Denko, "A Distributed Trust Management Scheme in the Pervasive Computing Environment," in Proc. of CCECE 2007., April 2007, pp. 1219-1222,
[CrossRef] [SCOPUS Times Cited 19]


[15] K. Sentz, S. Ferson, "Combination of Evidence in Dempster-Shafer Theory," SANDIA Tech. Report, SAND2002-0835, 2002.

[16] A. Gutscher, J. Heesen and O. Siemoneit, "Possibilities and Limitations of Modeling Trust and Reputation," in Proc. CEUR Workshop, 2008.

[17] K. Nordheimer, T. Schulze, D. Veit., "Trustworthiness in Networks: A Simulation Approach for Approx. Local Trust and Distrust Values," in Proc. of IFIP AICT, 2010, pp.157-171.
[CrossRef] [SCOPUS Times Cited 16]


[18] T. Bhuiyan, A. Josang, Y. Xu, "An analysis of trust transitivity taking base rate into account," in Proc. of Ubiquitous, Autonomic and Trusted Computing, 2009, pp. 34-39.

[19] P. Flocchini, F. L. Luccio, "Routing in Series Parallel Networks," Theory of Computing Systems, Vol. 36, pp. 137-157, 2003.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 12]


[20] C. T. Kelly, "Iterative Methods for Optimization (Frontiers in Applied Mathematics)," pp. 135-136, Society for Industrial and Applied Mathematics, 1st edition, Jan. 1987.

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[23] R. H. Byrd, P. Lu, J. Nocedal, C. Zhu, "A Limited Memory Algorithm for Bound Constrained Optimization," SIAM Journal on Scientific Computing, vol. 16, no. 5, pp. 1190-1208, 1995.
[CrossRef] [Web of Science Times Cited 4009]


[24] A. R. Conn, K. Scheinberg, L. N. Vicente, "Introduction to Derivative-Free Optimization (Mps-Siam Series on Optimization)," pp. 113-120, Society for Industrial and Applied Mathematics, 1st edition, Jan. 2009.



References Weight

Web of Science® Citations for all references: 4,189 TCR
SCOPUS® Citations for all references: 3,566 TCR

Web of Science® Average Citations per reference: 168 ACR
SCOPUS® Average Citations per reference: 143 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-12-06 08:35 in 85 seconds.




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Stefan cel Mare University of Suceava, Romania


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