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Fake Product Detection and Reputation System for E-commerce


Indu T R, Ayana Joseph, Divya V R, Prof. Linda Sara Mathew
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E-commerce is a new way to transact business electronically through networks and the Internet. During the last 5 years, the number of internet users rapidly increased which in turn led to fast growth in e-commerce market. The major drawback of e-commerce application is the lack of information about sellers behavior. Buyers are afraid of being cheated by the seller and often feel hesitate to make transaction at e-commerce site. While people are enjoying the benefits from online trading, criminals are also taking advantages to conduct fraudulent activities against shonest parties to obtain illegal profit. Fraud detection is essential to prevent such illegal and fraud activities. In this paper, we propose an implementation algorithm for a new reputation system based on seller-buyer closeness degree for e-commerce. The proposed reputation system can be understood and implemented easily in real e-commerce industry.

Indu T R, Ayana Joseph, Divya V R, Prof. Linda Sara Mathew

Reputation, Seller, Buyer, Closeness, Algorithm, Fraud Detection

  1. I Putu Arya Dharmaadi Suhardi, “Implementation of Seller-Buyer Closeness Degree-based Reputation System for E-commerce”,International Conference On   Information Technology Systems And Innovation (ICITSI) ,November 2014
  2. F. Wu, H.-H. Li, and Y.-H. Kuo, “Reputation evaluation for choosing a trustworthy   counterparty   in C2C e-commerce,” Electronic Commerce Research and Applications, vol. 10, no. 4, pp. 428–  436, Jul. 2011.
  3. Q. Liang and X. Gan, “Research on Trust Evaluation Algorithm for E-Commerce Based   on Reputation,” 2011 International Conference on Business Computing and Global Informatization, pp. 39–42, Jul. 2011.
  4. I. P. A. Dharmaadi, Suhardi, F. Hidayat,“Reputation system based on seller-buyer closeness degree for e-commerce,” International Conference on ICT for Smart Society, 2014.

Publication Details

Published in : Volume 2 | Issue 3 | May-June - 2016
Date of Publication Print ISSN Online ISSN
2016-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
300-304 IJSRSET162375   Technoscience Academy

Cite This Article

Indu T R, Ayana Joseph, Divya V R, Prof. Linda Sara Mathew, "Fake Product Detection and Reputation System for E-commerce", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.300-304, May-June-2016.
URL : http://ijsrset.com/IJSRSET162375.php