The 8th Workshop on the Internet of Safe Things seeks to bring together researchers to create solutions for the development of safe cyber-physical systems. As safety is inherently linked with the security and privacy of a system, we also seek contributions in these areas that address safety concerns. We seek to develop a community that systematically dissects the vulnerabilities and risks exposed by these emerging CPSs, and creates tools, algorithms, frameworks, and systems that help in the development of safe systems.

We seek contributions across domains - autonomous vehicles, smart homes, medical devices, smart grid, intelligent transportation; and across disciplines - systems, control, human-computer interaction, security, reliability, machine learning, and verification
The scope of our workshop includes safety topics as they relate to an individual’s health (physical, mental), society (air pollution, toxicity, disaster events), or the environment (species preservation, global warming, oil spills). The workshop considers safety from a human perspective and, thus, does not include topics such as thread safety or memory safety in its scope.

Topics of interest include, but are not limited to, the following categories:
- Verification of safety in IoT/CPS platforms/systems
- Authentication in IoT/CPS contexts
- Adversarial machine learning and testing of IoT/CPS systems
- Secure perception, localization, and planning in autonomous systems (e.g., autonomous vehicles and drones)
- Sensors/analog and network protocol security in IoT/CPS systems
- Compliance with legal, health, and environmental policies
- Conflict resolution between IoT applications
- Secure connectivity and updates in IoT/CPS
- Secure integration of hardware and software systems
- Privacy challenges in IoT/CPS settings
- Privacy-preserving data sharing and analysis
- Resiliency against attacks and faults
- Safety in human-in-the-loop systems
- Support for IoT/CPS development - debugging tools, emulators, testbeds
- Usable security and privacy for IoT/CPS platforms

The PC will select a best paper award for work that distinguishes itself in moving the security and privacy of IoT/CPS forward through novel attacks or defenses.