AI-Driven Cybersecurity in IoT-Based Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 1 October 2024 | Viewed by 653
Special Issue Editors
Interests: computational intelligence; Internet of Things; big data
Special Issues, Collections and Topics in MDPI journals
Interests: AI enabled network management; information and network security; Internet of Things; AI for recommender system; future communications and networks
Special Issue Information
Dear Colleagues,
With the rapid development of the Internet of Things (IoT), including Industrial IoT and Home IoT, sensors and IoT devices are starting to play an ever increasingly important role in various fields such as smart grids, power plants, manufacturing, and supply chains. Such sensors and IoT-based systems could be vulnerable to various cyber attacks. As an innovative data-driven paradigm, artificial intelligence (AI) has revolutionized several classical areas such as image, video, speech, and text processing. However, when applying to mitigating cyberattacks, the inherent limitations of AI such as data-dependent, weak generalization, and lack of explanability have obstructed the development of AI-driven cybersecurity. Furthermore, sensors and IoT devices have imposed additional obstables, including low power, heterogenity, and weak computing power, which makes applying AI for cybersecurity even more challenging. In this Special Issue, we are welcoming research and development that aims to apply and improve AI to enable and empower cybersecurity in sensors and IoT-based systems.
Prof. Dr. Wenbing Zhao
Prof. Dr. Pan Wang
Guest Editors
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Keywords
- AI
- cybersecruity
- IoT
- sensor based system
