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Advances in Intelligent Systems and Technologies

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International Conference on VLSI, Communication and Computer Communication

Fraud Detection in Stock Market Using Collusion Clustering Algorithm

Archana K, Iris T, Mercy W, Department of CSE KCG College of Technology, Chennai, India.

Online First : 06 December 2022
Publisher Name : AnaPub Publications, Kenya.
ISSN (Online) : 2959-3042
ISSN (Print) : 2959-3034
ISBN (Online) : 978-9914-9946-1-2
ISBN (Print) : 978-9914-9946-2-9
Pages : 014-018

DOI
https://doi.org/10.53759/aist/978-9914-9946-1-2_3
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Abstract

Fraud is one of the major problems around the world today. Example: Stock market. In this paper, circular trading is detected using graphs. We detect the fraud using graph and machine learning. To resolve this problem, different fraud detection algorithm and approaches were used. In our proposed system, we are using an algorithm called collusion clustering, which is particularly designed for finding fraudulent sets. This algorithm will detect the fraud more efficiently convey the result.

Keywords

Fraud, Collusion clustering, Machine learning, collusion sets, Circular trading, stock market.

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Cite this article

Archana K, Iris T, Mercy W, “Fraud Detection in Stock Market Using Collusion Clustering Algorithm”, Advances in Intelligent Systems and Technologies, pp. 014-018, December. 2022. doi: 10.53759/aist/978-9914-9946-1-2_3

Copyright

© 2023 Archana K, Iris T, Mercy W. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                           

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