作者
Maryam Zulfiqar, Filza Tariq, Muhammad Umar Janjua, Adnan Noor Mian, Adnan Qayyum, Junaid Qadir, Falak Sher, Muhammad Hassan
发表日期
2021/1/1
期刊
Computers & Security
卷号
100
页码范围
102094
出版商
Elsevier Advanced Technology
简介
On an e-commerce platform, a buyer‘s decision about the purchase of products is highly dependent on the existing reviews of that product. These reviews provide a judgment metric about the quality of the products and the credibility of the sellers. Popular e-commerce platforms (like eBay, Amazon, etc.) receive and store a lot of customer reviews regularly. However, these e-commerce platforms are prone to various kinds of rating frauds (intended towards bad-mouthing and ballot-stuffing) carried by the fake buyers and fraudulent sellers to promote or demote certain products. Moreover, these e-commerce platforms are under the control of a single authority and are prone to tampering of the reviews by the centralized authority itself to increase product sales. These fake and tampered reviews lead towards bad online buying experience and a lack of trust in e-commerce platforms. In this paper, we propose a …
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