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.

翻译：社交机器人需要安全可靠，才能与人类共享空间。本文报告了一项研究项目的初步成果，该项目旨在通过探究网络安全与物理安全之间的相互影响与交互作用，构建更安全可靠、智能自主的机器人。我们提出创建一种机器人入侵防御系统（RIPS），该系统采用创新方法检测并缓解认知社交机器人系统及其他信息物理系统中的入侵行为。RIPS在机器人通信层面检测威胁，并通过利用"系统模式"来定义机器人系统的哪些部分在遭受攻击时需缩减或限制其功能，从而实现信息物理威胁的缓解。我们将该方法应用于运行于真实社交机器人中的认知架构，在应对多种网络攻击场景时仍能保障人类的隐私与安全，从而验证了该方法的有效性。