Recent Advances in AI-Enabled Internet of Things Security and Privacy
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 2490
Special Issue Editors
Interests: neural network; network security; complex network; wireless network; medical informatics
Interests: wireless communication; localization; energy harvesting; machine learning
Special Issue Information
Dear Colleagues,
We are experiencing explosive growth in digital data and connected devices today based on the successful realization of the Internet of Things (IoT). The application of artificial intelligence (AI) and machine learning (ML) is prevalent in a wide range of fields. In recent years, AI and ML techniques have been gaining importance as tools to provide intelligence to the IoT. With increased intelligence, the goal of AI-enabled IoT is to provide better heterogeneous connectivity, ubiquitous coverage, reduced network and device complexity, enhanced power savings, and enhanced resource management.
However, due to the deployment of AI-based intelligence for IoT applications, a new set of problems, challenges, risks, and vulnerabilities have been introduced. Thus, it is important to address the challenges provided by intelligent cyberattacks that are targeted towards AI-based IoT.
Prospective authors are invited to submit original manuscripts on topics including, but not limited to:
- Security and privacy issues in intelligent industrial IoT
- Security and privacy issues in intelligent medical IoT
- Security and privacy issues in intelligent smart city IoT
- Security and privacy issues in vehicular IoT
- Security and privacy issues of blockchain technologies for AI-enabled IoT
- Security and privacy issues in intelligent edge network
- Attack models for AI-enabled IoT systems
- Adversarial learning in AI-enabled IoT systems
- AI-based intrusion detection in IoT systems
- Federated learning-based security techniques in intelligent IoT systems
- Experimental testbeds for testing security in AI-enabled IoT systems
Prof. Dr. Insoo Sohn
Prof. Dr. Huaping Liu
Prof. Dr. Tae (Tom) Oh
Guest Editors
Manuscript Submission Information
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Keywords
- Security and Privacy in IoT
- Intelligent IoT
- Industrial IoT
- Medical IoT
- Smart City with IoT
- Vehicular IoT
- Intelligent Edge Network
- Adversarial Learning
- Federated Learning
- Security in Blockchain
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