Authors: Mike Nkongolo
Published on: February 07, 2024
Impact Score: 8.27
Arxiv code: Arxiv:2402.04594
Summary
- What is new: Introduction of a novel feature set and the Ransomware Feature Selection Algorithm (RFSA) to identify ransomware-related financial transactions in cryptocurrency.
- Why this is important: The challenge of effectively detecting and preventing ransomware attacks, especially in the context of Bitcoin and USD transactions.
- What the research proposes: A comprehensive set of new features was designed to detect ransomware activity in financial transactions, combined with a new algorithm, RFSA, for effective feature selection.
- Results: The approach was successful in distinguishing between ransomware-related and benign transactions with a significant detection rate, revealing specific BTC transaction ranges commonly used in ransomware incidents.
Technical Details
Technological frameworks used: Gini Impurity, Mutual Information
Models used: Ransomware Feature Selection Algorithm (RFSA)
Data used: UGRansome dataset
Potential Impact
Cryptocurrency exchanges, financial institutions, cybersecurity solution providers
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