Machine Learning Power Side-Channel Attack on SNOW-V
Research#cryptography🔬 Research|Analyzed: Jan 4, 2026 10:38•
Published: Dec 25, 2025 16:55
•1 min read
•ArXivAnalysis
This article likely discusses a security vulnerability in the SNOW-V encryption algorithm. The use of machine learning suggests an advanced attack technique that analyzes power consumption patterns to extract secret keys. The source, ArXiv, indicates this is a research paper, suggesting a novel finding in the field of cryptography and side-channel analysis.
Key Takeaways
- •The research focuses on a side-channel attack, exploiting information leakage through power consumption.
- •Machine learning is employed to analyze power traces and potentially recover secret keys.
- •The target is the SNOW-V encryption algorithm.
- •The paper likely presents a novel attack method and its effectiveness.
Reference / Citation
View Original"Machine Learning Power Side-Channel Attack on SNOW-V"