Collusive Fraud Classification in Network of Online Auction Using Similarity Measure in Collective Classification

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Dadfarnia m.; Adibnia F.

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Journal Paper

Paper Information

Journal: JOURNAL OF ELECTRONIC AND CYBER DEFENCE Year:2019 | Volume:7 | Issue:1 (25) Page(s): 95-103

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Information Journal Paper

Title

Collusive Fraud Classification in Network of Online Auction Using Similarity Measure in Collective Classification

Author(s)

Dadfarnia m. | Adibnia F. | Issue Writer Certificate

Keywords

Similarity MeasureQ1

Collective ClassificationQ1

L1-normQ1

Markov Random FieldQ1

Loopy Belief PropagationQ1

Abstract

Nowadays, data classification is extremely important used with the purpose of identifying the features that indicate the group of the classification of each item. Classification of the user auctions is one of the usages of classification. In previous years, electronic auctions have become more important, so detecting fraudulent activities has attracted attention of many researchers. One type of fraud is the collusion of fraudulent users at the auction, which is a very dangerous type of fraud and if occurred, may lead to irreparable financial losses. In this paper, we propose a method that first extracts the effective features for finding normal people in the auction and then classifies the users by Collective Classification method. We define an edge potential function to use in Collective Classification, in which it uses the distance L1-norm as the Similarity Measure between the two adjacent nodes. The results show that the defined edge potential function is suitable for improving the classification rate of collaborative fraudulent users.

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APA: Copy

Dadfarnia, m., & Adibnia, F.. (2019). Collusive Fraud Classification in Network of Online Auction Using Similarity Measure in Collective Classification. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 7(1 (25) ), 95-103. SID. https://sid.ir/paper/243114/en

Vancouver: Copy

Dadfarnia m., Adibnia F.. Collusive Fraud Classification in Network of Online Auction Using Similarity Measure in Collective Classification. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2019;7(1 (25) ):95-103. Available from: https://sid.ir/paper/243114/en

IEEE: Copy

m. Dadfarnia, and F. Adibnia, “Collusive Fraud Classification in Network of Online Auction Using Similarity Measure in Collective Classification,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 7, no. 1 (25) , pp. 95–103, 2019, [Online]. Available: https://sid.ir/paper/243114/en

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