REVOLUTIONIZING CYBERSECURITY: THE IMPACT OF QUANTUM MACHINE LEARNING ON STRENGTHENING DEFENSE MECHANISMS
Dr. Seema Sharma1, Dr. Beena Bundela2
1Assistant Professor, Department of CSE, 2Assistant Professor, Department of Mathematics
JECRC University, Jaipur, India
ABSTRACT: Quantum Machine Learning (QML) involves applying the strength of quantum computing to machine learning to solve problems in this field of several areas. Even in the field of cybersecurity, QML will augment the current mechanisms and mitigate new threats of quantum developments. The present paper explores the possible usage of QML to transform threat detection, support cryptographic techniques, and resolve the vulnerabilities. It examines the advantages, vagaries and future of injecting QML in cybersecurity systems. Review of the current available literature is also made in the paper and gives a clear idea of the research status and its real-life application.
KEYWORDS: Quantum Machine Learning (QML), cybersecurity, Quantum Computing, Threat Detection, Cryptography, Quantum Key, Machine Learning.