The Role of Cryptography and AI in Enhancing Blockchain Security

Abstract

Blockchain technology has emerged as a very revolutionary tool facilitating secure and transparent digital interactions which is driven by its decentralised structure, cryptographic methods, and consensus protocols. There are a lot of substantial advantages such as improved confidentiality, integrity, and availability of blockchain security. But it also comes with a few drawbacks such as scalability issues, vulnerabilities system and system failures. This study examines the current trend of blockchain technology, its strengths and limitations, and its potential and proposes strategic improvements to enhance its resilience and scalability. The proposed advancement encompasses the integration of artificial intelligence (AI) and machine learning (ML) for real-time threat detection, the adoption of sophisticated cryptographic techniques like Zero-Knowledge Proofs (ZKPs) and quantum-resistant algorithms, as well as the implementation of adaptive consensus mechanisms aimed at optimising resource utilisation. These enhancements are pivotal for overcoming most of the drawbacks in blockchain security and discovering its complete potential. Through ongoing interdisciplinary exploration and innovation, blockchain has a very high potential to revolutionise all industries by providing strong security, enhancing operational efficiency, and ensuring scalability, thus creating secure, reliable, and decentralised digital ecosystems.