A Survey on Pump and Dump Detection in the Cryptocurrency Market Using Machine Learning
The popularity of cryptocurrencies has skyrocketed in recent years, with blockchain technologies enabling the development of new digital assets. However, along with their advantages, such as lower transaction costs, increased security, and transactional transparency, cryptocurrencies have also becom...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/15/8/267 |
| _version_ | 1797584691522437120 |
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| author | Mohammad Javad Rajaei Qusay H. Mahmoud |
| author_facet | Mohammad Javad Rajaei Qusay H. Mahmoud |
| author_sort | Mohammad Javad Rajaei |
| collection | DOAJ |
| description | The popularity of cryptocurrencies has skyrocketed in recent years, with blockchain technologies enabling the development of new digital assets. However, along with their advantages, such as lower transaction costs, increased security, and transactional transparency, cryptocurrencies have also become susceptible to various forms of market manipulation. The pump and dump (P&D) scheme is of significant concern among these manipulation tactics. Despite the growing awareness of P&D activities in cryptocurrency markets, a comprehensive survey is needed to explore the detection methods. This paper aims to fill this gap by reviewing the literature on P&D detection in the cryptocurrency world. This survey provides valuable insights into detecting and classifying P&D schemes in the cryptocurrency market by analyzing the selected studies, including their definitions and the taxonomies of P&D schemes, the methodologies employed, their strengths and weaknesses, and the proposed solutions. Presented here are insights that can guide future research in this field and offer practical approaches to combating P&D manipulations in cryptocurrency trading. |
| first_indexed | 2024-03-10T23:55:20Z |
| format | Article |
| id | doaj.art-6bea404ceeef471893d10389b807d2a4 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-10T23:55:20Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-6bea404ceeef471893d10389b807d2a42023-11-19T01:12:21ZengMDPI AGFuture Internet1999-59032023-08-0115826710.3390/fi15080267A Survey on Pump and Dump Detection in the Cryptocurrency Market Using Machine LearningMohammad Javad Rajaei0Qusay H. Mahmoud1Department of Electrical, Computer, and Software Engineering, Ontario Tech University, Oshawa, ON L1G 0C5, CanadaDepartment of Electrical, Computer, and Software Engineering, Ontario Tech University, Oshawa, ON L1G 0C5, CanadaThe popularity of cryptocurrencies has skyrocketed in recent years, with blockchain technologies enabling the development of new digital assets. However, along with their advantages, such as lower transaction costs, increased security, and transactional transparency, cryptocurrencies have also become susceptible to various forms of market manipulation. The pump and dump (P&D) scheme is of significant concern among these manipulation tactics. Despite the growing awareness of P&D activities in cryptocurrency markets, a comprehensive survey is needed to explore the detection methods. This paper aims to fill this gap by reviewing the literature on P&D detection in the cryptocurrency world. This survey provides valuable insights into detecting and classifying P&D schemes in the cryptocurrency market by analyzing the selected studies, including their definitions and the taxonomies of P&D schemes, the methodologies employed, their strengths and weaknesses, and the proposed solutions. Presented here are insights that can guide future research in this field and offer practical approaches to combating P&D manipulations in cryptocurrency trading.https://www.mdpi.com/1999-5903/15/8/267pump and dump detectioncryptocurrencymarket manipulation detectionmachine learning |
| spellingShingle | Mohammad Javad Rajaei Qusay H. Mahmoud A Survey on Pump and Dump Detection in the Cryptocurrency Market Using Machine Learning Future Internet pump and dump detection cryptocurrency market manipulation detection machine learning |
| title | A Survey on Pump and Dump Detection in the Cryptocurrency Market Using Machine Learning |
| title_full | A Survey on Pump and Dump Detection in the Cryptocurrency Market Using Machine Learning |
| title_fullStr | A Survey on Pump and Dump Detection in the Cryptocurrency Market Using Machine Learning |
| title_full_unstemmed | A Survey on Pump and Dump Detection in the Cryptocurrency Market Using Machine Learning |
| title_short | A Survey on Pump and Dump Detection in the Cryptocurrency Market Using Machine Learning |
| title_sort | survey on pump and dump detection in the cryptocurrency market using machine learning |
| topic | pump and dump detection cryptocurrency market manipulation detection machine learning |
| url | https://www.mdpi.com/1999-5903/15/8/267 |
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