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Integration of AI and Quantum Computing in Cyber Security

Lingala Thirupathi, Balla Akshaya, Pagadala Charvi Reddy, S. P. Harsha, Ettireddy Sriha Reddy

2024Advances in mechatronics and mechanical engineering (AMME) book series11 citationsDOI

Abstract

Rapid advances in artificial intelligence (AI) and quantum computing can potentially transform cybersecurity. It explores the synergistic integration to improve cyber defenses. The ability of AI to analyze data, detect anomalies, and perform predictive analytics, combined with the potential of quantum computing to solve complex cryptographic problems, provides a strong framework for today's cybersecurity challenges. Using quantum algorithms and machine learning techniques, it aims to strengthen cryptographic methods, optimize threat detection systems, and develop flexible defense protocols against sophisticated cyber attacks. The study also examines the implications of quantum cryptography and the role of AI in managing quantum-generated data It discusses the challenges and ethical considerations associated with applying these advanced technologies in cybersecurity infrastructures. The findings suggest that the convergence of AI and quantum computing can significantly improve the effectiveness and adaptability of cybersecurity measures, paving the way for a secure digital future.

Topics & Concepts

Computer scienceComputer securityTheoretical computer scienceQuantum Computing Algorithms and ArchitectureNetwork Security and Intrusion DetectionChaos-based Image/Signal Encryption
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