Investigating the impact of structural and temporal behaviors in Ethereum phishing users detection
The recent surge of Ethereum in prominence has made it an attractive target for various kinds of crypto crimes. Phishing scams, for example, are an increasingly prevalent cybercrime in which malicious users attempt to steal funds from a user's crypto wallet. This research investigates the effec...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | Blockchain: Research and Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096720923000283 |
| _version_ | 1797374198566354944 |
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| author | Medhasree Ghosh Dyuti Ghosh Raju Halder Joydeep Chandra |
| author_facet | Medhasree Ghosh Dyuti Ghosh Raju Halder Joydeep Chandra |
| author_sort | Medhasree Ghosh |
| collection | DOAJ |
| description | The recent surge of Ethereum in prominence has made it an attractive target for various kinds of crypto crimes. Phishing scams, for example, are an increasingly prevalent cybercrime in which malicious users attempt to steal funds from a user's crypto wallet. This research investigates the effects of network architectural features as well as the temporal aspects of user activities on the performance of detecting phishing users on the Ethereum transaction network. We employ traditional machine learning algorithms to evaluate our model on real-world Ethereum transaction data. The experimental results demonstrate that our proposed features identify phishing accounts efficiently and outperform the baseline models by 4% in Recall and 5% in F1-score. |
| first_indexed | 2024-03-08T19:01:26Z |
| format | Article |
| id | doaj.art-041aa14481f740f098980404beadb14f |
| institution | Directory Open Access Journal |
| issn | 2666-9536 |
| language | English |
| last_indexed | 2024-03-08T19:01:26Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Blockchain: Research and Applications |
| spelling | doaj.art-041aa14481f740f098980404beadb14f2023-12-28T05:16:19ZengElsevierBlockchain: Research and Applications2666-95362023-12-0144100153Investigating the impact of structural and temporal behaviors in Ethereum phishing users detectionMedhasree Ghosh0Dyuti Ghosh1Raju Halder2Joydeep Chandra3Indian Institute of Technology, Patna, Bihta, Bihar, 801106, India; Corresponding author.University of Calcutta, Kolkata, West Bengal, 700073, IndiaIndian Institute of Technology, Patna, Bihta, Bihar, 801106, IndiaIndian Institute of Technology, Patna, Bihta, Bihar, 801106, IndiaThe recent surge of Ethereum in prominence has made it an attractive target for various kinds of crypto crimes. Phishing scams, for example, are an increasingly prevalent cybercrime in which malicious users attempt to steal funds from a user's crypto wallet. This research investigates the effects of network architectural features as well as the temporal aspects of user activities on the performance of detecting phishing users on the Ethereum transaction network. We employ traditional machine learning algorithms to evaluate our model on real-world Ethereum transaction data. The experimental results demonstrate that our proposed features identify phishing accounts efficiently and outperform the baseline models by 4% in Recall and 5% in F1-score.http://www.sciencedirect.com/science/article/pii/S2096720923000283BlockchainCryptocurrencyEthereumPhishing scamMachine learning |
| spellingShingle | Medhasree Ghosh Dyuti Ghosh Raju Halder Joydeep Chandra Investigating the impact of structural and temporal behaviors in Ethereum phishing users detection Blockchain: Research and Applications Blockchain Cryptocurrency Ethereum Phishing scam Machine learning |
| title | Investigating the impact of structural and temporal behaviors in Ethereum phishing users detection |
| title_full | Investigating the impact of structural and temporal behaviors in Ethereum phishing users detection |
| title_fullStr | Investigating the impact of structural and temporal behaviors in Ethereum phishing users detection |
| title_full_unstemmed | Investigating the impact of structural and temporal behaviors in Ethereum phishing users detection |
| title_short | Investigating the impact of structural and temporal behaviors in Ethereum phishing users detection |
| title_sort | investigating the impact of structural and temporal behaviors in ethereum phishing users detection |
| topic | Blockchain Cryptocurrency Ethereum Phishing scam Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2096720923000283 |
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