Shahar Somin
Papers
1
Total Citations
2
H-Index
1
About
Shahar Somin is a researcher whose work sits at the intersection of blockchain technology, network science, and cybersecurity. His most notable contribution is the pioneering study "Detecting Bot Activity in the Ethereum Blockchain Network" (2018), which addresses a critical challenge in decentralized systems: identifying automated, non-human actors within the Ethereum ecosystem. By analyzing transaction patterns on the second-largest cryptocurrency platform—with a market cap exceeding $100 billion—Somin developed methods to distinguish bot activity from genuine user behavior, a key step toward ensuring network integrity and security. This work, which has garnered 2 citations, lays foundational groundwork for understanding automated manipulation in blockchain networks. Somin’s research is particularly valuable for students and researchers exploring the intersection of machine learning and distributed ledger technology, as it demonstrates how network analysis can uncover hidden patterns in massive transaction datasets. His contributions highlight the growing importance of cybersecurity in decentralized finance, offering tools to detect fraud and maintain trust in systems handling hundreds of thousands of daily transactions.
Research Focus
Key Achievements
Top Papers
- 1Detecting Bot Activity in the Ethereum Blockchain Network2 citations · 2018