Contributions and Audience

Journal of Privacy-Aware Computing Systems welcomes scholarly contributions that advance knowledge and practice in privacy-aware computing, cybersecurity, secure software systems, trusted computing, privacy-preserving technologies, data protection, cloud and edge security, digital identity, Internet of Things privacy, and responsible data-driven systems.

Types of Contributions

• Original research articles
• Review articles
• Technical studies
• Case studies
• Simulation-based studies
• Experimental investigations
• Privacy framework and security architecture papers
• Threat model and risk assessment studies
• Application-oriented privacy and security research

Expected Contribution

Submissions should present a clear research problem, appropriate methodology, accurate results, and meaningful technical or applied contribution. The journal encourages work that supports improved privacy protection, stronger system security, responsible data use, privacy-by-design, secure software engineering, and trustworthy digital system deployment.

Intended Audience

The journal is intended for researchers, academicians, cybersecurity professionals, software engineers, privacy officers, data protection specialists, postgraduate students, system architects, technology developers, and decision-makers working with secure and privacy-aware digital technologies.