Security and Privacy in IoT-Based Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: 15 November 2025 | Viewed by 596
Special Issue Editors
Interests: artificial intelligence (AI) application to the Internet of Things (IoT) and industrial IoT; supervisory control and data acquisition (SCADA) and industrial control system (ICS) for intrusion/anomaly detection; cyber-security; fault detection; XAI and manufacturing execution systems
Interests: cnn; dataset; emergency detection; human-centered; IoT; machine learning; smart factory
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Special Issue Information
Dear Colleagues,
As the Internet of Things (IoT) technologies expand to various sectors, they enable enhanced connectivity, real-time operations, and data-driven decision making. This proliferation introduces significant security and privacy challenges, mainly due to IoT devices' decentralized and resource-constrained nature. Disruptive technologies promise the enhancement of the security and privacy of IoT-based systems by introducing innovative solutions, such as artificial intelligence and machine learning, blockchain, edge computing, quantum cryptography, zero trust architecture (ZTA), homomorphic encryption, and fog computing to address the unique challenges of interconnected devices. The proposed Special Issue on "Security and Privacy in IoT-Based Systems" seeks to address these critical concerns by soliciting original research and review articles that explore innovative solutions and methodologies to safeguard IoT environments. Multidisciplinary research findings addressing the security and privacy of interconnected networks and devices are also welcomed. Topics of interest include, but are not limited to, secure IoT communication protocols, privacy-preserving techniques, intrusion detection systems, blockchain-based IoT security frameworks, and XAI on AI-driven approaches for threat detection and mitigation. The issue aims to provide a comprehensive platform for discussing the latest advancements in securing IoT infrastructures against emerging threats and ensuring data confidentiality, integrity, and availability. This Special Issue will serve as a valuable resource for researchers, practitioners, and policymakers striving to enhance the security and privacy of IoT-based systems in various domains, including smart cities, healthcare, industrial automation, and beyond.
Topics of interest include but not limited to:
- Security architectures for IoT.
- Privacy-preserving mechanisms.
- Privacy challenges in smart homes and cities.
- Blockchain-based security.
- Lightweight cryptography for IoT devices.
- Secure communication protocols.
- AI and machine learning for IoT security.
- End-to-end security in IoT Architectures.
- IoT Device Authentication and authorization.
- Data encryption and integrity.
- Secure firmware and software updates in IoT devices.
- Threat modeling and risk assessment in IoT.
- Threat/intrusion detection and mitigation.
- Authentication and access control.
- Blockchain and distributed ledger technologies.
- Secure IoT applications.
- Emerging threats and solutions.
- Explainable AI techniques for IoT data analysis and decision making.
- Industry use cases, success stories, reviews and best practices.
- Regulatory and compliance Issues in IoT security.
We welcome submissions that present novel research findings, practical implementations, and theoretical insights related to the security and privacy of IoT-based systems. All submissions will undergo rigorous peer review process to ensure high quality and relevance to the themes of the Special Issue.
Dr. Love Allen Chijioke Ahakonye
Dr. Cosmas Ifeanyi Ifeanyi Nwakanma
Dr. Lewis Nkenyereye
Guest Editors
Manuscript Submission Information
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Keywords
- IoT security
- privacy-preserving IoT
- blockchain for IoT
- lightweight cryptography intrusion detection
- secure IoT communication
- end-to-end IoT security
- device authentication
- IoT data encryption
- firmware security
- risk assessment
- critical infrastructure security
- smart home privacy
- regulatory compliance
- intrusion detection
- artificial internet of things (AIoT)
- smart environments
- generative AI
- digital twin
- machine learning
- smart agriculture
- smart factory and manufacturing
- smart home
- smart city
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