Cybersecurity and Data Privacy in the Internet of Things (IoT)—Challenges and New Horizons
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 25 November 2024 | Viewed by 89
Special Issue Editor
Special Issue Information
Dear Colleagues,
IoT (Internet of Things) cybersecurity presents a complex-yet-interesting landscape, which raises both challenges and new horizons.
The challenges include the following:
- Device Vulnerabilities: Many IoT devices have limited processing power and memory, which often leads to inadequate security measures.
- Data Privacy Concerns: The inadequate protection of sensitive data can lead to privacy breaches, identity theft, or unauthorized surveillance.
- Interoperability Issues: Different device manufacturers and communication protocols raise challenges in terms of integration and consistent security standards.
- Physical Security: IoT devices are often deployed in physically accessible environments, exposing vulnerabilities to physical tampering or theft.
- Scalability: As the number of connected devices grows, traditional security solutions may struggle to scale effectively to protect large IoT ecosystems.
The new horizons include the following:
- AI and Machine Learning: Algorithms can be employed to detect abnormal behavior patterns in IoT networks, allowing for proactive threat detection and response.
- Zero-Trust Architecture: This approach moves away from the traditional perimeter-based security model.
- Edge Computing: It reduces latency and bandwidth requirements while potentially improving security by minimizing data exposure to the cloud.
- Regulatory Frameworks: Compliance with government and industry standards can help ensure a baseline level of security across IoT deployments.
Contributions are welcomed in any of the above-mentioned or other related areas.
Dr. Denis Reilly
Guest Editor
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Keywords
- device vulnerabilities
- data privacy
- interoperability
- scalability
- AI and machine learning
- edge computing
- regulatory frameworks
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