A Collusion Set Detection in Value Added Tax Using Benford’s Analysis

Priya, Priya and Mathews, Jithin and Kumar, K Sandeep and Ch, Sobhan Babu and Rao, S V Kasi Visweswara (2018) A Collusion Set Detection in Value Added Tax Using Benford’s Analysis. In: Advances in Intelligent Systems and Computing, 10-12 July 2018, London.

Full text not available from this repository. (Request a copy)


Circular trading is a fraudulent trading scheme used by notorious tax evaders with the motivation to trick the tax enforcement authorities from identifying their suspicious transactions. Dealers make use of this technique to collude with each other and hence do heavy illegitimate trade among themselves to hide suspicious sales transactions. In this paper, we develop an algorithm to detect the group of colluding dealers who do heavy illegitimate trading among themselves. We formulate the problem as finding clusters in a weighted directed graph. Novelty of our approach is that we used Benford’s analysis to define weights and defined a measure similar to F1 score to find similarity between two clusters. The proposed algorithm is run on the commercial tax data set given by the government of Telangana, India, and the results obtained contains a group of several colluding dealers.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Benford’s analysis, Circular trading, Fraud detection, Graph clustering, Social network analysis, Value added tax
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 10 Dec 2018 11:57
Last Modified: 10 Dec 2018 11:57
URI: http://raiith.iith.ac.in/id/eprint/4621
Publisher URL: http://doi.org/10.1007/978-3-030-01174-1_70
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 4621 Statistics for this ePrint Item