Guest Editor(s)
Prof. Pablo Chamoso
Email: chamoso@usal.es
Affiliation: BISITE Research Group, University of Salamanca, Salamanca, Spain
Homepage:
Research Interests: artificial intelligence, cybersecurity, smart cities
Summary
The increasing connectivity of modern digital infrastructures, including cloud computing, Internet of Things (IoT), cyber-physical systems, and distributed intelligent environments, has significantly expanded the cybersecurity attack surface. Intrusion Detection Systems (IDS) have become essential components for identifying malicious activities, preventing cyber threats, and improving the resilience of intelligent systems.
This Special Issue aims to explore recent advances, innovative methodologies, and practical applications in intrusion detection and intelligent cybersecurity systems. The issue focuses on AI-driven, scalable, adaptive, and trustworthy approaches for detecting cyber threats in heterogeneous and distributed environments. Contributions addressing theoretical models, real-world applications, and emerging cybersecurity challenges are particularly welcome.
Suggested themes include, but are not limited to:
· AI and Machine Learning for Intrusion Detection
· Deep Learning and Explainable Cybersecurity
· Intrusion Detection in IoT and Cyber-Physical Systems
· Cloud, Edge, and Distributed Security
· Anomaly Detection and Threat Intelligence
· Privacy-Preserving and Federated Security Systems
· Intelligent Cyber Defense and Risk Analysis
Keywords
intrusion detection systems, cybersecurity, artificial intelligence, machine learning, IoT security, anomaly detection, distributed systems, threat intelligence, cyber-physical systems, cloud security
Login
Register
Submit a Paper
Propose a Special lssue