Research Article

A Bidder Behavior Learning Intelligent System for Trust Measurement

by  El-Sayed M. Towfek El-Kenawy, Ali Ibraheem El-Desoky, Amany M. Sarhan
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Issue 8
Published: March 2014
Authors: El-Sayed M. Towfek El-Kenawy, Ali Ibraheem El-Desoky, Amany M. Sarhan
10.5120/15521-4225
PDF

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 },
                        year    = { 2014 },
                        volume  = { 89 },
                        number  = { 8 },
                        pages   = { 12-18 },
                        doi     = { 10.5120/15521-4225 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2014
                        %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%T 
                        %J International Journal of Computer Applications
                        %V 89
                        %N 8
                        %P 12-18
                        %R 10.5120/15521-4225
                        %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
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Index Terms
Computer Science
Information Sciences
No index terms available.
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.

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