Quantum computing is poised to revolutionize computation by solving complex problems beyond the capabilities of classical computers. While quantum technologies promise significant advances in scientific discovery, optimization, artificial intelligence, cryptography, and secure communications, they also pose unprecedented challenges to cybersecurity. Quantum algorithms such as Shor's and Grover's algorithms have the potential to compromise widely used public-key cryptographic systems, threatening the confidentiality, integrity, and authenticity of digital communications, financial systems, critical infrastructure, and government networks. As organizations prepare for the quantum era, the development and deployment of post-quantum cryptography (PQC), quantum-safe protocols, and quantum-resilient security architectures have become global priorities.
Artificial Intelligence (AI) is expected to play a crucial role in accelerating the transition to quantum-safe cybersecurity by enabling automated cryptographic risk assessment, intelligent vulnerability analysis, secure migration strategies, anomaly detection, and adaptive cyber defense. The integration of AI with quantum technologies is creating new opportunities for resilient cybersecurity while introducing emerging challenges in quantum-enabled attacks, secure AI systems, and hybrid quantum-classical computing environments.
The International Conference on Cyber Security in Artificial Intelligence (ICCSAI 2027) invites original research contributions on Quantum Computing and Post-Quantum Cybersecurity. This track provides an international forum for researchers, cryptographers, AI scientists, cybersecurity professionals, industry experts, and policymakers to present innovative research on quantum-safe security, post-quantum cryptography, AI-assisted quantum security, quantum communication, and resilient cyber defense. Contributions addressing theoretical foundations, cryptographic innovations, secure architectures, quantum risk management, migration strategies, standards, and real-world applications are particularly encouraged.