A Survey on Security Attacks on Blockchain Using Deep Learning

Securing decentralized networks becomes crucial as blockchain technology grows more popular. This study suggests a system for intrusion detection that combines blockchain features with deep learning. Blockchain's tamper-resistance and deep learning's aptitude for pattern identification offer better threat detection and adaptive defenses. Empirical tests demonstrate this strategy's potential to strengthen developing blockchain security, which would be a huge advancement in cybersecurity.