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Intelligent Learning Trust Measurement Behavior for Online Auction

Journal paper
El-Sayed M. Towfek El-Kenawy and Ali Ibraheem El-Desoky
Journal of Electronic Commerce Research, Volume17, Number 4, November 2016

A Bidder Behavior Learning Intelligent System for Trust Measurement

Journal paper
El-sayed Towfek M El-kenawy, Ali Ibraheem El-desoky and Amany M Sarhan
International Journal of Computer Applications Volume 89 – No.8, March 2014

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

Keywords

A Bidder Strategy System for Online Auctions Trust measurement

Journal paper
El - Sayed T owfek E l - kenawy, Ali Ibraheem El - Desoky, Amany M. Sarhan
International Journal of Computer Science Issues Volume 11, Issue 5, September 2014

Abstract

In this paper, we investigate trust of the online auctions one of most e-commerce fields used today, with online auctions; users could buy/sell items all over the world. Compared to traditional auctions, online auctions bring greater convenience while dramatically decreasing the transaction cost., Participants’ trust more important one, this paper propose new algorithm that depends on bidder Strategy System(BSS).

Keywords

  • e-auction
  • reputation
  • trust
  • Bidder Strategy System
  • e-fraud

Distributing Graphic Rendering using Grid Computing with Load Balancing

Journal paper
El-sayed M. T. El-kenawy Ali Ibraheem El-desoky Mohamed F. Al-rahamawy
International Journal of Computer Applications Volume 47– No.9, June 2012

Abstract

Graphic rendering is expensive in terms of computation. We investigate distributing it by applying the powerful computing technique called grid computing, and showing how this technology has a great effectiveness and high performance. The paper shows how to develop a java drawing framework for drawing in the distributed environment by dividing the work upon nodes in grid computing and selecting the best nodes for job assignments to have the jobs executed in the least amount of time. Schedulers are limited in individual capability, but when deployed in large numbers can represent a strong force similar to a colony of ants or swarm of bees. The paper also presents a mechanism for load balancing based on swarm intelligence such as Ant colony optimization and Particle swarm Optimization.

Keywords

Trust Measurement for Online Auctions: Proposal of New Model

El-Sayed M. Towfek El-Kenawy, Ali Ibraheem El-Desoky
International Journal of Innovative Computing, Information and Control Volume11, Number 6, December 2016 IJICIC International