A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems

TL;DR

This paper reviews current methods and challenges in creating resilient IoT systems for cyber-physical systems, emphasizing non-intrusive data integrity techniques and proposing a framework for trustworthy IoT in smart CPS like autonomous vehicles.

Contribution

It provides a comprehensive overview of resilience techniques, identifies key challenges, and proposes a framework for trustworthy IoT tailored to cyber-physical systems.

Findings

Summarizes state-of-the-art anomaly detection and fault-tolerance methods.

Highlights challenges in building resilient IoT for CPS.

Proposes a framework and demonstrates it on a transport domain use case.

Abstract

The Internet of Things (IoT) is a ubiquitous system connecting many different devices - the things - which can be accessed from the distance. The cyber-physical systems (CPS) monitor and control the things from the distance. As a result, the concepts of dependability and security get deeply intertwined. The increasing level of dynamicity, heterogeneity, and complexity adds to the system's vulnerability, and challenges its ability to react to faults. This paper summarizes state-of-the-art of existing work on anomaly detection, fault-tolerance and self-healing, and adds a number of other methods applicable to achieve resilience in an IoT. We particularly focus on non-intrusive methods ensuring data integrity in the network. Furthermore, this paper presents the main challenges in building a resilient IoT for CPS which is crucial in the era of smart CPS with enhanced connectivity (an excellent example of such a system is connected autonomous vehicles). It further summarizes our solutions, work-in-progress and future work to this topic to enable "Trustworthy IoT for CPS". Finally, this framework is illustrated on a selected use case: A smart sensor infrastructure in the transport domain.