Topic: Intrusion Detection and Prevention in Networks: Trends, Issues, and Challenges

Intrusion Detection and Prevention Systems (IDPS) are crucial in safeguarding networks against evolving cyber threats. This Special Issue invites researchers and practitioners to contribute their insights and expertise on exploring intrusion detection across communication and networks, future Internet architectures, 5G and beyond networks, data centers, Internet of Things (IoT) and cloud networks, and the application of Machine Learning (ML) and Artificial Intelligence (AI) techniques. Key areas of interest include:
● Network Intrusion Detection Systems (NIDS);
● Intrusion Prevention Systems (IPS);
● Access Control Mechanisms in Intrusion Detection;
● Jamming Attack Detection and Defense Strategies;
● Profiling Normal or Abnormal System Behaviors for Intrusion Detection;
● Threat Intelligence and Information Sharing for Intrusion Prevention;
● Explainable Intrusion Prevention Strategies;
● IDPS in Cloud and IoT Environments;
● ML and AI Techniques for Intrusion Detection;
● Metrics and Evaluation Methods for Assessing Intrusion Detection Effectiveness.

We invite academics, research students and professionals to submit their original work. Extended conference papers are also welcome, provided they have been revised and contain at least 50% new content.

30 Sep 2024