About this book:

*Security and Adversarial Threats in Robotics* provides a comprehensive technical guide to securing autonomous systems as they transition from controlled industrial settings to dynamic human environments. The book establishes that robotic security is a unique discipline at the intersection of IT, operational technology (OT), and safety engineering. It argues that because robots possess "kinetic" agency, a digital compromise can lead to immediate physical harm, necessitating a "secure-by-design" philosophy that integrates hardware roots of trust, encrypted communication middleware like DDS-Security, and rigorous identity management across entire fleets.

The text moves through the robotic stack, starting with the foundational layers of secure boot, hardened operating systems, and container security. It addresses the vulnerabilities inherent in the perception-decision-action loop, specifically highlighting the risks of sensor spoofing (GNSS, LiDAR, Radar) and adversarial machine learning, where subtle environmental perturbations can deceive a robot’s vision. To counter these threats, the author advocates for defense-in-depth strategies, such as sensor fusion to cross-verify data and robust planning algorithms that maintain safety even when individual inputs are compromised.

Beyond technical controls, the book emphasizes the critical roles of supply chain integrity, secure over-the-air (OTA) updates, and continuous observability through telemetry and anomaly detection. It explores the human element of robotics, noting that social engineering and poor user experience (UX) can bypass sophisticated digital defenses. The final chapters focus on organizational resilience, outlining specialized incident response and digital forensics protocols tailored for cyber-physical systems, as well as the governance frameworks required to manage the ethical and privacy implications of pervasive robotics.

Ultimately, the book serves as a roadmap for practitioners to build "hardened" platforms. It concludes that safety and security must be co-engineered, treating security not as an optional feature but as a fundamental requirement for functional safety. By combining proactive red teaming with automated recovery playbooks and a Zero Trust architectural mindset, organizations can deploy robotic fleets that are resilient against both traditional cyberattacks and emerging adversarial exploits.

What You'll Find Inside:

• Understanding the modern robotics threat landscape, including adversarial machine learning, sensor spoofing, supply chain risks, and cyber‑physical attack vectors that can translate into physical harm.
• Building a trusted foundation with hardware roots of trust, secure boot, firmware integrity, and hardened operating systems (RTOS/GOS) and containerized workloads.
• Securing robot communications using TLS, DDS‑Security, zero‑trust principles, and network segmentation to limit blast radius and enforce least‑privilege access.
• Defending perception and control loops through sensor fusion, robust ML defenses, input validation, and integrity‑protected actuation to maintain safe physical behavior under attack.
• Implementing end‑to‑end resilience via secure OTA updates, comprehensive telemetry/logging, anomaly detection, red‑team testing, safety‑security co‑engineering, and incident response/recovery playbooks.

Who's It For:

This book is intended for robotics engineers, security professionals, machine learning practitioners, and operations leaders who design, deploy, or manage robotic systems. It also benefits fleet managers, safety engineers, and DevSecOps teams responsible for ensuring the cyber‑physical resilience of autonomous platforms in industrial, logistics, healthcare, and consumer environments.