most citedDetecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis

3 citations · 3 across the 1 of their papers we have counts for

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cs.LG2024★ 3 cited

Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis

Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke +1

As the use of Blockchain for digital payments continues to rise in popularity, it also becomes susceptible to various malicious attacks. Successfully detecting anomalies within Blo…