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Top1. Introduction
A Business carried over through Internet using web browsers which provides authorization to the customers, to search and to purchase products is Online shopping. The search engines affords various retailer sites in which the customer can discover, compare and evaluate their desired products. The evolution of Internet extents the development of online trading. Online shopping is widely chosen nowadays as it has facilities like door to door delivery, wide range of products, time saving, comparative price ranges, one roof purchase, cash on delivery, credit and EMI, rewards, offers, easy replacement, reviews and ratings. Online shopping is done with electronic gadgets such as PCs, workstations, tablet PCs, advanced mobile phones. Similar to all the other business transactions, online transactions also involves usage of bank account details and personal information. Hence the data which is provided during the process of the online transaction must be carried safe without involving any risks of identity thefts and frauds. Study by Microsoft has discovered harms from online shopping acts to have cost users around Rs. 7500/ - on a normal. Microsoft says yearly worldwide effect of phishing and different types of fraud could be as high as USD 5 billion (Hindu Business Line, 2014).
Based on the examination released by the industry body Assocham (n.d.), India's electronic commerce values get increased at a surprising 88 per cent in the year 2018. In some of the e-commerce websites, when customer does a credit card transaction the address bar holds http instead of https. Unavailability of https in credit transactions further confuses the consumers there by losing their trust over the visited web site (Mishra et al., 2013). During the transaction normally find the uniqueness of our information and records breaches, the commonly occurring activities are addressed by sending One Time Password (OTP) to the corresponding customer. If the customer’s mobile is stolen along with his credit card, the OTP will be again received by the fraudster, which makes him to complete the transaction with no further hassle.These exceptions, which occur to the normal sequence of operations, are called as anomalies. Irregularity occurs in information’s or records are unpredictable. This applicable to the rest of the record set available to the user. Anomalies occur because of random variation or may indicate something scientifically interesting. It is necessary to detect, correct and remove the presence of outliers in any dataset.
The Identity being stolen is the major risk in the online trading. Everyone doesn't know the seriousness of Identity theft in online trading. The cybercriminals steal personal information like name, mobile number, email address, physical address, etc. to sell it in the dark web, indulge in scams or impersonification. Fake websites are the major source for such online frauds. In a result of a survey its stated that the 43% of the online identity thefts happen during the holiday shopping (Cactus VPN, n.d.). Research being carried out in this field in detecting credit card frauds using data mining techniques, parametric optimization approach and distance sum techniques (Chandola et al., 2008; Manoel et al., 2008; Yu, 2009).
This paper focuses on Communal Fraud Detection algorithm for protecting Identity theft in online shopping by creating a white list. Section 2 describes motivation and background of various proposed techniques towards fraud analysis, In section 3 model description, proposed Communal Fraud Detection algorithm, working of algorithm, step by step implementation is portrayed, Result and analysis are illustrated in section 4, for analysis Hierarchical Clustering Technique - Dendrogram has been used. This paper discusses widely about the fraud detection algorithm for establishing identity thefts in online shopping.