Cybersecurity and Privacy Protection: The Key to IoT Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 39
Special Issue Editors
Interests: malware analysis; program analysis; data science; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) has changed organizations by enabling networked devices to collect and share data automatically. IoT sensors, which are the foundation of the technology, are essential for monitoring and regulating tangible environments. The necessity for robust cybersecurity and privacy protection has become increasingly critical in light of the increasing prevalence of IoT. These sensors are commonly subject to cyber-attacks and privacy violations, which can disclose sensitive data and threaten entire systems.
This special issue focuses on the most current advancements in cybersecurity and privacy solutions for IoT devices. It invites researchers to propose cutting-edge solutions to challenges such as secure data delivery, intrusion detection, encryption, and privacy-preserving strategies. Contributions focus on lightweight cryptography, privacy-enhancing technologies, secure protocols for resource-constrained devices, and novel intrusion detection systems for IoT networks.
As IoT evolves, it becomes increasingly important to provide a secure and confidential environment for these sensors. This special issue intends to encourage academic and industrial collaboration to improve the security and privacy of IoT sensor networks, resulting in a safer and more trustworthy future.
We invite papers that include, but not exclusively, the following topics:
- Malware detection and propagation
- Intrusion detection
- Mobile banking security
- Edge and fog computing for IoT
- Blockchain security for IoT
- Future trends in IoT security
- Generative AI for IoT security
- Privacy-preserving algorithms for IoT security
- Adversarial attacks on IoT
- Advanced machine learning for IoT security
- Federated Learning for IoT security
- Large Language Model (LLM) for IoT
Dr. Farhan Ullah
Dr. Yue Zhao
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- IoT security
- privacy
- sensor networks
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