Identifying Malicious Dealers in Goods and Services Tax

Mehta, Priya and Mathews, Jithin and Kasi Visweswara Rao, S V and Kumar, K Sandeep and Suryamukhi, K and Sobhan Babu, Ch (2019) Identifying Malicious Dealers in Goods and Services Tax. In: IEEE 4th International Conference on Big Data Analytics (ICBDA), 15-18 March 2019, Suzhou, China.

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Tax evasion is pervasive in most of the nations. It impedes the economic progress of the nation. In this paper, we devise a technique that detects groups of people who commit evasion in the goods and services tax by manipulating their sales and (or) purchases with the motivation to reduce their tax liability. In particular, we perform clustering analysis on certain sensitive parameters pertaining to each of the dealers. Then by analyzing the number of dealers across the different clusters, we identified the suspicious set of dealers who are further investigated by looking at other sensitive parameters. This work is designed and implemented for the Government of Telangana, India.

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IITH Creators:
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Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: goods and services tax, value added tax, fraud detection, malicious dealers, clustering
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 20 May 2019 04:23
Last Modified: 20 May 2019 04:23
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