Resilient control and Markov-enhanced hybrid multi-feature intrusion detection for cyber-physical wind farms under SCADA delays and coordinated cyber-attacks

ASDS: Adaptive Stackelberg Defense Scheme for Cyber-Physical Intrusion Detection in Cloudified Transportation Systems

Cloud-enabled Intelligent Transportation Systems (ITS) leverage Vehicle-to-Everything (V2X) communications to support scalable data processing and real-time traffic management. However, this integration significantly expands the cyber-physical attack surface. Conventional intrusion detection systems (IDSs) that rely on...

Digital Twin-Based Intrusion Detection for Vehicle Powertrain CAN Bus Systems

A DT-based IDS that jointly models physical relationships among decoded powertrain signals and identifies attacks through residuals between predicted and observed behavior shows promise for detecting stealthy payload-level CAN attacks that preserve normal communication patterns, supporting behavior-based cybersecurity...

Cyber-Resilient Directional Overcurrent Relays in Distribution Systems Under Data Scarcity

Hybrid Intrusion Detection System with Real-Time Concept Drift Detection for Enhanced IoT Security

A hybrid IDS framework that integrates supervised Random Forest classification, unsupervised Isolation Forest anomaly monitoring, and Kolmogorov–Smirnov (KS)-based concept drift monitoring is presented, providing initial evidence of generalization to one held-out attack family but should not be interpreted as proof of...

Detection and Defense Against False Data Injection Attacks for Secure Energy Management in Hybrid Electric Ships

Experimental results demonstrate that the proposed framework mitigates SOC estimation deviations caused by FDIAs, and effectively reduces power allocation errors and energy losses, thereby improving the cyber-resilience, operational reliability, and energy efficiency of hybrid ship power systems.

Resilient Observer-Triggered Adaptive Control for Cyber-Physical Systems Under Time-Vary Stealthy FDI Attacks

Cyber-physical systems (CPSs) are widely used in safety-critical applications, where both control reliability and communication efficiency are essential. However, open networks make CPSs vulnerable to false data injection (FDI) attacks, which threaten system stability. Existing event-triggered control methods often fai...