Focus and Scope

The journal serves as a platform for disseminating cutting-edge research, novel algorithms, frameworks, and applied solutions that address contemporary challenges in securing digital environments through intelligent systems. The journal welcomes high-quality original research articles, review papers, and technical reports in (but not limited to) the following areas: AI-based threat detection and prevention systems Machine learning and deep learning applications in cybersecurity Intelligent intrusion detection and anomaly detection systems Secure AI architectures and privacy-preserving AI Cyber threat intelligence and automated response mechanisms Adversarial machine learning and robust model design Blockchain and AI convergence in secure systems Ethical implications of AI in cybersecurity Trustworthy AI and secure data governance Cognitive security and autonomous defense systems. The journal encourages interdisciplinary and cross-sector research contributions that bridge theory and practice. It seeks to foster innovation that enhances the security, resilience, and trustworthiness of AI-driven systems and infrastructures.