Martin Higgins

Martin Higgins, Devki Jha, David Wallom

Time-of-flight (ToF) distance measurement devices such as ultrasonics, LiDAR and radar are widely used in autonomous vehicles for environmental perception, navigation and assisted braking control. Despite their relative importance in making safer driving decisions, these devices are vulnerable to multiple attack types including spoofing, triggering and false data injection. When these attacks are successful they can compromise the security of autonomous vehicles leading to severe consequences for the driver, nearby vehicles and pedestrians. To handle these attacks and protect the measurement devices, we propose a spatial-temporal anomaly detection model \textit{STAnDS} which incorporates a residual error spatial detector, with a time-based expected change detection. This approach is evaluated using a simulated quantitative environment and the results show that \textit{STAnDS} is effective at detecting multiple attack types.

Martin Higgins, Shawn Thompson, Cherry Mangla

This innovative practice WIP paper describes \emph{LITE-SOC}, a lightweight web-based Security Operations Center (SOC) simulator designed for instructor-led cybersecurity education. SOC analysts must triage large volumes of alerts, separate genuine threats from false positives, and communicate decisions under time pressure. Recreating this environment in the classroom is difficult and often impractical for institutions without access to cyber ranges or enterprise security infrastructure. LITE-SOC was developed to provide a simpler alternative. The platform generates continuous streams of synthetic SOC events and offers separate student and instructor views with visualization tools, event annotation, and region-based chat. Instructors control the pacing of the exercise and can inject targeted incidents to guide the scenario. The goal is to give students a practical introduction to SOC workflows such as triage, prioritization, and decision-making without requiring a full operational SOC environment. The platform is intended for use in guided classroom exercises where students collaboratively investigate alerts and practice real-time triage and communication.