Blockchains for Cybersecurity and AI Systems

Cybercrime is a vast and flourishing underground industry that poses a real and disruptive threat to every profession, industry, and company in the world. Blockchain has emerged as a promising technology for securing critical data and operations. However, blockchain networks are not immune to cybersecurity vulnerabilities. This chapter sheds light on the cybersecurity vulnerabilities of both public and private blockchain networks. It also provides a mathematical model based on graph theory that can be used to assess cyber vulnerabilities for a given blockchain design. The chapter concludes by discussing the intersection between machine learning, artificial intelligence, and blockchain, specifically, the use of blockchain trust fabric to enable federated machine learning.