Quantum Computing and Machine Learning for Advanced Cybersecurity Solutions
S. Deepajothi, C. Senthil Selvi, P. Shanmugaraja, B. Ramaswamy Karthikeyan, Arikrishnaperumal Ramaswamy Aravind, A. Rajendra Prasad · Advances in computer and electrical engineering book series · 2024
Quantum computing and machine learning provide an entirely new paradigm for advanced solutions in cybersecurity. The supercomputational power that quantum computing has will immediately be capable of solving tough cryptographic problems that classical computers find very hard to solve, thus providing extra-strength encryption and decryption techniques. In parallel, machine learning algorithms detect changing cyber threats; they identify complex patterns in very large datasets and provide real-time predictions of future vulnerabilities. This chapter will describe the synergies between quantum computing and ML, which might potentially lead to the development of mighty cybersecurity frames able to thwart attacks by sophisticated breaches such as those based on quantum principles. It takes up discussions regarding how QML models will change the entire mechanism of threat detection and response in a world like never before of unprecedented speed and accuracy.