Open AccessAims and Scope
Journal of Cybersecurity in AI and Quantum Computing aims to publish high-impact research addressing cybersecurity challenges, innovations, and applications in AI-driven and quantum-enabled systems. Journal of Cybersecurity Applications in Artificial Intelligence and Quantum Computing aims to:
• Promote interdisciplinary research in cybersecurity, AI, and quantum computing
• Provide rapid dissemination of innovative research findings
• Support academic, industrial, and governmental collaboration
• Encourage development of secure and resilient intelligent systems
Cybersecurity in AI Systems
- Secure machine learning and adversarial AI
- AI-driven intrusion detection systems
- Privacy-preserving AI techniques
Artificial Intelligence Security
- Adversarial Machine Learning
- Explainable AI for security
- AI in cyber threat intelligence
Quantum Computing and Security
- Post-Quantum Cryptography
- Quantum Key Distribution
- Quantum attack models and defenses
Emerging Technologies
- IoT and CPS security
- Blockchain and distributed ledger security
- Cloud and edge security
Data Security and Privacy
- Data protection frameworks
- Privacy-enhancing technologies
- Secure data analytics