Security and Privacy in AI-Driven IoT Communication Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 31 May 2024 | Viewed by 264
Special Issue Editors
Interests: computer networks; QoS; computer security; wireless sensor networks; IoT; 5G networks
Special Issues, Collections and Topics in MDPI journals
Interests: authentication mechanisms; computer networks; SDN; P4; monitoring; resource management; IoT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The number of connected Internet of Thing (IoT) devices is growing at a fast pace, as are concerns about their security and privacy. The expansion of their domain application to critical environments, where the quality of service and the protection of sensible data must be assured, potentiate the interest in attacks from external entities. However, the natural heterogeneity of these networks, together with low device resources, and dynamic environments, demand stronger, dynamic, and reliable security and privacy mechanisms and protocols in which artificial intelligence (AI) can have an important role.
This Special Issue of Sensors will focus on artificial intelligence (AI) techniques and mechanisms to improve security and privacy in IoT networks by identifying early operations of attacks (e.g., scanning), providing higher protection levels to attacks, and dynamically adapting networks and environments for attack mitigation. We invite researchers to contribute original research and review articles that demonstrate new mechanisms, models, protocols and architectures, present theoretical proposals, describe practical deployments, and/or identify new research opportunities.
Articles may explore, but are not limited to, the following topics:
- Security and privacy AI-driven mechanisms, models, and protocols that can be used in IoT systems;
- Middleware support and services to increase security levels;
- Modelling, simulation, and tools for effective design of security AI-driven solutions for IoT systems;
- Architectures and standards for security IoT systems;
- Experiences with real-world deployments;
- Energy and security management for IoT;
- AI-driven security management of IoT networks;
- Dynamic security for IoT systems using AI;
- Energy-aware security mechanisms and solutions;
- Security optimization in heterogeneous environments;
- AI-driven mechanisms and models to perform attacks.
Dr. Vasco Pereira
Dr. Bruno Sousa
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- IoT
- security and privacy
