Experimental Evaluation of Possible Feature Combinations for the Detection of Fraudulent Online Shops
Audronė Janavičiūtė,
Agnius Liutkevičius,
Gedas Dabužinskas
et al.
Abstract:Online shopping has become a common and popular form of shopping, so online attackers try to extract money from customers by creating online shops whose purpose is to compel the buyer to disclose credit card details or to pay money for goods that are never delivered. Existing buyer protection methods are based on the analysis of the content of the online shop, customer reviews, the URL (Uniform Resource Locator) of the website, the search in blacklists or whitelists, or the combination of the above-mentioned m… Show more
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