About the Journal
Indonesian Journal of Cyber-AI and Security Intelligence (IJCASI, Indones. J. Cyber-AI Secur. Intell.) is a peer-reviewed, open-access international journal published by the Indonesian Artificial Neural Network Society (IdNNS), dedicated to advancing research on theoretical development, technological innovation, analytical approach, and practical implementation in the fields of cyber defense, threat intelligence, digital forensics, AI for security, and data-driven intelligence analysis. The journal is committed to maintaining high ethical standards in scholarly publishing and adheres to established guidelines for research integrity and publication ethics.
The IJCASI journal encourages researchers, academics, practitioners, policymakers, and industry professionals to present interdisciplinary research that integrates computer science, cybersecurity, artificial intelligence, information systems, and security studies to address evolving challenges in digital security and intelligence systems. The journal welcomes high-quality original research articles, review papers, and case studies that strengthen national and global cyber resilience, digital sovereignty, and intelligent security systems.
The scope of the journal includes, but is not limited to:
- Artificial Intelligence for Security: Machine learning, neural networks, and AI-driven methodologies applied to threat detection, automation, and security enhancement
- Cyber Defense & Threat Intelligence: Strategies, technologies, and analytical approaches for defending digital infrastructure and predicting cyber threats
- Digital Forensics: Methodologies and tools for investigating digital crimes, data recovery, and cyber incident analysis
- Data-Driven Intelligence Analysis: Utilizing big data, analytics, and intelligent systems for security intelligence and decision-making
- Interdisciplinary Security Studies: Research combining information systems, policy, and cybersecurity governance
