Cybersecurity and Privacy in Internet-of-Things: Advances, Challenges, and Emerging Trends
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 98
Special Issue Editors
Interests: mobile sensing and computing; cybersecurity and privacy; efficient deep learning
Interests: machine learning; software engineering; discrete event systems; formal methods; wireless networking; real-time distributed systems
Special Issues, Collections and Topics in MDPI journals
2. New Jersey Institute of Technology, Newark, NJ 07102, USA
Interests: deep reinforcement learning; intelligent optimization algorithms; autonomous vehicles; detection model; artificial intelligence; intelligent manufacturing
Special Issue Information
Dear Colleagues,
The rapid proliferation of Internet of Things (IoT) devices has significantly transformed modern industries, smart cities, healthcare, and everyday life. However, this widespread adoption has also introduced critical security and privacy concerns. As IoT networks continue to expand, new threats and vulnerabilities emerge, requiring novel and efficient cybersecurity strategies. Addressing these challenges is essential to ensure the integrity, confidentiality, and availability of IoT ecosystems.
This Special Issue on "Cybersecurity and Privacy in Internet-of-Things: Advances, Challenges, and Emerging Trends" aims to explore state-of-the-art security mechanisms, risk mitigation techniques, and emerging trends in safeguarding IoT devices and networks. We welcome original research and review articles that contribute to advancing security models, cryptographic techniques, privacy-preserving frameworks, and trust mechanisms tailored for IoT environments.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:
- IoT Security Architectures and Threat Models;
- Lightweight Cryptography and Secure Communication for IoT;
- Privacy-Preserving Mechanisms in IoT Applications;
- AI-Driven Cybersecurity for IoT Devices;
- Blockchain-Based Security Solutions for IoT;
- Intrusion Detection and Prevention in IoT Networks;
- Secure Firmware Updates and IoT Device Management;
- Edge Computing and IoT Security Challenges;
- Cybersecurity for Industrial IoT (IIoT) and Smart Cities;
- Trust Management and Access Control in IoT Systems;
- Machine Learning for IoT Security.
Dr. Bin Hu
Prof. Dr. Jiacun Wang
Dr. Xiwang Guo
Guest Editors
Manuscript Submission Information
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Keywords
- IoT security
- lightweight cryptography
- AI in cybersecurity
- privacy-preserving IoT
- blockchain for IoT
- intrusion detection
- edge computing security
- trust management
- smart city cybersecurity
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