Artificial Intelligence in Cryptographic Evolution
Abdelraouf M. Ishtaiwi, Mohammad Ali Al Khaldy, Ahmad Al–Qerem, Amjad Yousef Aldweesh, Ammar Almomani · Advances in information security, privacy, and ethics book series · 2024
The combination of artificial intelligence (AI) methods like machine learning with cryptography is essential for more intelligent and adaptable security measures. This chapter of the book outlines the convergence of AI with cryptography in detail. It summarizes the foundations of cryptography and the major AI techniques such as machine learning, deep learning, and evolutionary algorithms. The merging of AI & cryptography to maximize the potential of automated cryptanalysis that comes in terms of exposing the vulnerabilities, state of the art ciphers that follow an improved cryptographic design, enhanced intrusion detection in the form of anomaly recognition and advanced secure collaboration protocols for safe collaborative learning without sacrificing the secrecy of information. Applications in domains like finance, healthcare, and internet of things (IoT), among others, are further proofs of the benefits of program crypto-AI techniques. In addition, adversarial actions against the candidate and ethical issues are also the challenges.