Richard Anthony

About

Richard Anthony is a researcher specializing in cybersecurity for cyber-physical systems, autonomous robotics, and self-managing systems. His work sits at a critical intersection of artificial intelligence, security, and autonomous systems, addressing one of the most pressing challenges in modern computing: protecting systems where digital vulnerabilities can have real-world physical consequences. Anthony's most influential contributions focus on detecting and mitigating cyber-physical threats in autonomous robotic vehicles. His 2017 paper on applying Bayesian Networks to threat detection in autonomous vehicles has garnered 48 citations, while his closely related 2016 work on behaviour-based anomaly detection has attracted 45 citations — together establishing him as a notable voice in this emerging field. These papers tackle the sophisticated challenge of identifying attacks that cross the cyber-physical boundary, whether through compromised communications, computation, or sensory channels, which can have potentially dangerous real-world repercussions. Beyond security, Anthony has explored intelligent system design through teleo-reactive programming approaches, demonstrating a broader interest in building robust, self-managing autonomous agents that respond to unexpected events in human-like ways. His research collectively advances our understanding of how to make autonomous systems both smarter and safer in an increasingly threat-rich environment.

Research Focus

Key Achievements

Top Papers

1. 1
   Detecting Cyber-Physical Threats in an Autonomous Robotic Vehicle Using Bayesian Networks

   48 citations · 2017
2. 2
   Behaviour-Based Anomaly Detection of Cyber-Physical Attacks on a Robotic Vehicle

   45 citations · 2016
3. 3
   Threat evaluation based on automatic sensor signal characterisation and anomaly detection

   5 citations · 2016
4. 4
   Using a teleo-reactive approach in building self-managing systems

   2 citations · 2012

Key Collaborators

Contact & Links