Next-Generation Cybersecurity: The Role of AI and Quantum Computing in Threat Detection
Mitra Penmetsa, Jayakeshav Reddy Bhumireddy, Rajiv Chalasani, Mukund Sai Vikram Tyagadurgam, Venkataswamy Naidu Gangineni, Sriram Pabbineedi · International Journal of Emerging Trends in Computer Science and Information Technology · 2021
The merging of quantum computing and artificial intelligence (AI) is poised to redefine the cybersecurity landscape by allowing more sophisticated threat identification, rapid response, and adaptive defence mechanisms. This paper explores the transformative impact of AI-driven landscape by allowing more sophisticated threat identification, anomaly detection, malware classification, and behavioural analytics in cyber defence. Simultaneously, it investigates quantum computing's disruptive ability to fortify cryptographic systems while simultaneously presenting threats via quantum-based attacks like Grover's and Shor's algorithms. Emerging hybrid architectures that combine AI with quantum computing Quantum Machine Learning (QML) are examined for enhanced pattern recognition and predictive capabilities. The study concludes with a review of current research, technological challenges, and the future direction of AI-quantum integration in securing digital infrastructures against more complex online dangers. The combination of AI's flexibility and quantum computing's processing capacity presents a viable avenue for preventive security measures as cyberattacks become more sophisticated and frequent