Introduction to Cybersecurity with AI, ML, and Blockchain
摘要
This chapter provides an introduction of cybersecurity with the aim of combining Artificial Intelligence (AI), along with Machine Learning (ML), as well as Blockchain technologies. In today's world, the need for robust cybersecurity measures is of utmost importance. The traditional approaches of security methods are often unable to defend the current evolving cyber threats, necessitating innovative solutions. AI and ML have emerged as the best technology in order to enhance the cybersecurity for processing of unlimited data, and also able to detect the regular patterns, and to identify the potential threats. Applications of AI and ML in cybersecurity include threat detection and analysis, intrusion detection and prevention systems, user and entity behavior analytics, and malware analysis. Blockchain, with its decentralized ability offers additional security benefits such as data integrity and secure identity management. With the proposed technologies, this chapter provides an opportunity for building more robust and intelligent security systems. However, the challenges such as privacy concerns and the evolving nature of cyber threats need to be addressed. This chapter serves as a basic level for understanding the essence of combining the technologies of AI, ML, and Blockchain in cybersecurity, setting the stage for further exploration of practical implementation and best practices in subsequent chapters.