  Social Robots need to be safe and reliable to share their space with humans.
This paper reports on the first results of a research project that aims to
create more safe and reliable, intelligent autonomous robots by investigating
the implications and interactions between cybersecurity and safety. We propose
creating a robotic intrusion prevention system (RIPS) that follows a novel
approach to detect and mitigate intrusions in cognitive social robot systems
and other cyber-physical systems. The RIPS detects threats at the robotic
communication level and enables mitigation of the cyber-physical threats by
using System Modes to define what part of the robotic system reduces or limits
its functionality while the system is compromised. We demonstrate the validity
of our approach by applying it to a cognitive architecture running in a real
social robot that preserves the privacy and safety of humans while facing
several cyber attack situations.
