Intrusion, Malware Detection and Prevention in 5G Networks and Internet of Things
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 5196
Special Issue Editors
Interests: authentication mechanisms; computer networks; SDN; P4; monitoring; resource management; IoT
Special Issues, Collections and Topics in MDPI journals
Interests: critical infrastructure protection; cyber-physical systems security; desktop management; O&M organization; low-level management support
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Fifth-generation networks are rapidly spreading across the world, enabling connection between millions of devices in consumer and industrial IoT applications. The 5G evolution has introduced new models for network architectures and improved physical data rates, supporting a high number of connected devices and enabling new ecosystems for the deployment of novel services and applications.
However, this ecosystem, encompassing a plethora of services and devices, also increases the interest of malicious actors; the hyperconnectivity characteristics provided by 5G networks may provide fertile ground for threats such as malware, which can be deployed in devices to perform Distributed Denial of Service (DDoS), data stealing, and ransomware, among many others. Thus, efficient intrusion detection mechanisms are needed to secure infrastructures as well as end-users.
This Special Issue, organised under the auspices of the Smart5Grid P2020 project, aims to represent the latest advances in malware, intrusion detection, and prevention, encompassing application scenarios such as (and not limited to):
- Mechanisms for data collection and processing leveraging edge computing models for the security of IoT applications;
- Algorithms and techniques for malware detection in IoT applications and mobile devices;
- Algorithms and techniques for intrusion detection and protection in 5G services.
Dr. Bruno Sousa
Dr. Tiago Cruz
Guest Editors
Manuscript Submission Information
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Keywords
- malware detection
- intrusion detection and prevention
- Internet of Things
- 5G services
- C2 servers
- security of services
