Guest Editors
Dr. Sheraz Aslam
Email: sheraz.aslam@cut.ac.cy
Affiliation: Department of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, 3036, Cyprus
Department of Computer Science, American University of Cyprus, 6019 Larnaca, Cyprus
Homepage:
Research Interests: data analytics, big data, cloud computing, AI-driven IoT & smart systems, differential privacy, data privacy & anonymization, privacy-preserving synthetic data, secure & privacy-aware smart infrastructures, energy-efficient AI computing
Dr. Rashid Kamal
Email: r.kamal@ulster.ac.uk
Affiliation: School of Computing, Ulster University, 2-24 York Street, Belfast, BT15 1AP, UK
Homepage:
Research Interests: machine learning and big data analysis, behavioural modelling and opportunistic sensing, data privacy, emotion classification and context-aware systems, algorithms and optimization, mobile application development
Prof. Dr. Chris Nugent
Email: cd.nugent@ulster.ac.uk
Affiliation: School of Computing, Ulster University, 2-24 York Street, Belfast, BT15 1AP, UK
Homepage:
Research Interests: pervasive computing, artificial intelligence for smart environments, activity recognition and behaviour modelling, digital healthcare and connected health, IoT and cybersecurity innovation
Dr. Waseem Raza
Email: waseem@ou.edu
Affiliation: School of Electrical and Computer Engineering, University of Oklahoma, Norman, 73019, United States
Homepage:
Research Interests: resilient machine learning methods, AI/ML methods for 5G and beyond wireless networks. generative and agentic AI methods in wireless and IoT applications, and AI driven smart healthcare using wearable and IoT devices
Summary
Cloud computing underpins enterprise innovation and critical sectors such as smart grids, maritime logistics, and healthcare. Yet its adoption raises pressing security and privacy risks—data breaches, unauthorized access, compliance gaps—further complicated by edge–cloud integration and AI-enabled services. Traditional perimeter defenses no longer suffice, cross-border privacy rules add complexity, and scalable, interoperable privacy-preserving technologies remain limited.
This special issue seeks contributions that deliver practical advances in cloud security and privacy.
We welcome original research articles, review papers, and case studies. Submissions may cover (but are not limited to) the following topics:
- Cloud Security Architectures & Models
- Zero-trust design for multi-cloud and hybrid cloud deployments
- Post-quantum cryptography for long-term cloud data protection
- Security frameworks for containerized and serverless environments
- Privacy-Enhancing Technologies
- Homomorphic encryption and secure multi-party computation for cloud analytics
- Data governance and compliance strategies for global privacy regulations
- Intelligent Threat Detection & Response
- AI/ML-driven real-time detection of cloud attacks (e.g., anomalous access, ransomware, insider threats)
- Forensics and incident response for cloud security breaches
- Adaptive defense against DDoS and advanced persistent threats
- Edge–Cloud Collaborative Security
- Secure data transmission in IoT-enabled smart grids and maritime logistics
- Edge-assisted authentication and intrusion detection
- Privacy-preserving computation in edge-cloud integrated systems
- Domain-Specific Cloud Security Applications
Keywords
cloud computing security, cloud privacy, privacy-enhancing technologies, AI/ML for threat detection, zero-trust architectures, multi-cloud/hybrid cloud security, edge–cloud security, post-quantum cryptography, federated learning, cloud security forensics
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