IEEE

Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning

Abstract: Anomaly-Based Intrusion Detection Systems (IDSs) have been extensively studied for their ability to detect zero-day attacks by establishing a baseline of normal behavior from benign traffic ...
Hacker

An Overview of Log-Based Anomaly Detection Techniques

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?
IEEE

RDSAD: Robust Threat Detection in Evolving Data Streams via Adaptive Latent Dynamics

Abstract: Cyber-Physical Systems (CPSs) are the backbone of Industry 4.0, seamlessly integrating physical and software components for advanced automation in diverse sectors. Recent cyber incidents ...
Nature

Cybersecurity Intrusion Detection Systems and Anomaly Detection Techniques

Intrusion Detection Systems (IDS) form a critical line of defence in modern cyber-security architectures, monitoring network traffic or host activity for signs of malicious behaviour. Traditional ...