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A Bidder Behavior Learning Intelligent System for Trust Measurement

by El-sayed M. Towfek El-kenawy, Ali Ibraheem El-desoky, Amany M. Sarhan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 8
Year of Publication: 2014
Authors: El-sayed M. Towfek El-kenawy, Ali Ibraheem El-desoky, Amany M. Sarhan
10.5120/15521-4225

El-sayed M. Towfek El-kenawy, Ali Ibraheem El-desoky, Amany M. Sarhan . A Bidder Behavior Learning Intelligent System for Trust Measurement. International Journal of Computer Applications. 89, 8 ( March 2014), 12-18. DOI=10.5120/15521-4225

@article{ 10.5120/15521-4225,
author = { El-sayed M. Towfek El-kenawy, Ali Ibraheem El-desoky, Amany M. Sarhan },
title = { A Bidder Behavior Learning Intelligent System for Trust Measurement },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 8 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number8/15521-4225/ },
doi = { 10.5120/15521-4225 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:08:41.780396+05:30
%A El-sayed M. Towfek El-kenawy
%A Ali Ibraheem El-desoky
%A Amany M. Sarhan
%T A Bidder Behavior Learning Intelligent System for Trust Measurement
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 8
%P 12-18
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the spread of e-commerce fields over the world especially an online auctions segment, the problems of internet crimes increased in the last years. The online auctions face a serious problem of trust among the participants where users have no information about the others, and have no relations among them except the commercial transactions; this allows fraud to occur by malicious users. We proposed a framework depend on "Bidder Behavior" consist of three algorithms the first " Bidder Increase Price Behavior"(BIPB), the second "Search In Stored Data Base"(SSDB) and the third "Person Recursive Search" (PRS) to improve the performance of trust measurement

References
  1. Ana Cristina Bicharra Garcia*, Anderson Lopes*, Cristiana Bentes, Electronic Auction with autonomous intelligent agents: Finding opportunities by being there. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial. No. 13 (2001), pp. 45-52. ISSN: 1137-3601. © AEPIA http://www. aepia. dsic. upv. es/).
  2. The Ministry of Finance, Investments Division report about eAUCTION: THE eWAY OF BUSINESS PROCUREMENT.
  3. 2012_IC3Report. 2012.
  4. Azeem Aleem , Albert Antwi-Boasiako, Internet auction fraud: The evolving nature of online auctions criminality and the mitigating framework to address the threat . www. science direct. com International Journal of Law, Crime and Justice 39 (2011)
  5. Costin B?adic, Adrian Giurca, and Gerd Wagner," Using Rules and R2ML for Modeling Negotiation Mechanisms in E-Commerce Agent Systems",2008.
  6. E. Sathiyamoorthy, N. Ch. Sriman Narayana Iyenger & V. Ramachandran,"Agent Based Trust Management Model Based on Weight Value Model for Online Auctions " International Journal of Network Security & Its Applications (IJNSA), October 2009
  7. Lik Mui, Mojdeh Mohtashemi, Ari halberstadt, " A Computational Model of Trust and Reputation ", 2002
  8. Hany Abdelghaffar INVISTEGATING THE CRITICAL SUCCESS FACTORS FOR ONLINE C2C AUCTIONS IN EGYPT 2012, European, Mediterranean & Middle Eastern Conference on Information Systems 2012 (EMCIS2012) June 7-8, Munich, Germany
  9. Shashank Pandit, Duen Horng Chau, Samuel Wang, Christos Faloutsos, " NetProbe: A Fast and Scalable System for Fraud Detection in Online Auction Networks" , 2007
  10. T. Dong Huynh and Nicholas R. Jennings and Nigel R. Shadbolt "FIRE: An Integrated Trust and Reputation Model for Open Multi-Agent Systems"2005
  11. Judy E. Scott , Daw n G. Gregg ," The Impact of Product Classification for Online Auctions",2010.
  12. Mikolaj Morzy, New Algorithms for Mining the Reputation of Participants of Online Auctions, X. Deng and Y. Ye (Eds. ): WINE 2005, LNCS 3828, pp. 112–121, 2005,Springer-Verlag Berlin Heidelberg 2005
  13. Haiping Xu, Sol M. Shatz, and Christopher K. Bates. " A Framework for Agent-Based Trust Management in Online Auctions",Fift h Internat ional Conference on Information Technology: New Generations. 2008.
  14. Miko?aj Morzy, Adam Wierzbickiand Apostolos N. Papadopoulos ," Mining online auc t ion social networks for reputation and recommendation"2009
  15. Ling Liu, Malcolm Munro, William Song," EVALUATION OF COLLECTING REVIEWS IN CENTRALIZED ONLINE REPUTATION SYSTEMS". 2010
  16. E. Sathiyamoorthy, N. Ch. Sriman Narayana Iyenger & V. Ramachandran,"Agent Based Trust Management Model Based on Weight Value Model for Online Auctions " International Journal of Network Security & Its Applications (IJNSA), October 2009
  17. Shashank Pandit, Duen Horng Chau, Samuel Wang, Christos Faloutsos, " NetProbe: A Fast and Scalable System for Fraud Detection in Online Auction Networks", 2007.
  18. Costin B?adic, Adrian Giurca, and Gerd Wagner," Using Rules and R2ML for Modeling Negotiation Mechanisms in E-Commerce Agent Systems", 2008
Index Terms

Computer Science
Information Sciences

Keywords

Bidder Increase Price Behavior (BIPB) Search In Stored Data Base (SSDB) Person Recursive Search (PRS) Online Auctions Learning Intelligent System Negotiation Reputation Trust E-fraud.