The International Journal of Information and Cybersecurity (JICS) is an international, peer-reviewed scholarly journal dedicated to advancing research and innovation in secure, intelligent, and smart applications. The journal provides a multidisciplinary platform for researchers, academics, practitioners, and industry professionals to present emerging theories, methodologies, architectures, algorithms, systems, and practical applications that address the growing need for intelligent and trustworthy digital technologies.

JICS focuses on the integration of cybersecurity, artificial intelligence, machine learning, smart computing, Internet of Things (IoT), cloud and edge computing, blockchain, data analytics, and emerging digital technologies. Particular emphasis is placed on research that develops secure, intelligent, adaptive, reliable, privacy-preserving, and resilient applications for contemporary digital environments.

The journal welcomes both theoretical and applied research addressing the security and intelligence of applications across diverse domains, including smart cities, healthcare, education, finance, transportation, energy, industry, agriculture, government, and critical infrastructure. Research involving secure AI, trustworthy machine learning, privacy-preserving technologies, intelligent threat detection, risk-aware systems, secure IoT, blockchain-enabled applications, and cyber-physical systems is particularly encouraged.

JICS aims to bridge the gap between fundamental research and real-world technological applications by encouraging innovative solutions that enhance security, intelligence, trust, privacy, resilience, efficiency, and usability. The journal also welcomes interdisciplinary research combining computing and information technologies with domain-specific applications.

JICS is committed to maintaining rigorous academic standards through a double-blind peer-review process, ensuring the integrity, originality, and scientific quality of published work. The journal encourages contributions that address emerging challenges, industry needs, and future directions in secure and smart applications.

Aims and Scope

The journal welcomes original research, review articles, systematic reviews, surveys, case studies, technical papers, and innovative application-oriented studies covering, but not limited to:

Artificial Intelligence and Intelligent Applications

• Artificial Intelligence and Machine Learning
• Deep Learning and Reinforcement Learning
• Generative AI and Large Language Models
• Explainable and Trustworthy AI
• AI-driven Decision Support Systems
• Intelligent Autonomous Systems
• AI-enabled Security Applications
• Adversarial Machine Learning
• AI Risk and Governance

Cybersecurity and Secure Applications

• Cybersecurity and Information Security
• Intrusion Detection and Prevention
• Malware and Ransomware Detection
• Phishing and Fraud Detection
• Vulnerability Assessment
• Cyber Risk Assessment and Management
• Security Auditing and Compliance
• Digital Forensics
• Identity and Access Management
• Authentication and Authorization
• Secure Software and Application Security
• Privacy and Data Protection

Smart and Connected Technologies

• Internet of Things (IoT)
• Industrial IoT and Industry 4.0
• Smart Cities and Smart Infrastructure
• Smart Homes and Buildings
• Smart Healthcare
• Smart Education and Learning
• Smart Transportation
• Smart Agriculture
• Smart Energy and Smart Grids
• Cyber-Physical Systems

Emerging Computing Technologies

• Cloud Computing Security
• Edge and Fog Computing
• Blockchain and Distributed Ledger Technologies
• Federated Learning
• Digital Twins
• Big Data Analytics
• Mobile and Ubiquitous Computing
• 5G/6G Security
• Quantum Computing and Post-Quantum Security
• Web and Mobile Applications