Visible to the public Towards trustworthy data in networked control systems: A hardware-based approach

TitleTowards trustworthy data in networked control systems: A hardware-based approach
Publication TypeConference Paper
Year of Publication2017
AuthorsUlz, T., Pieber, T., Steger, C., Matischek, R., Bock, H.
Conference Name2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
ISBN Number978-1-5090-6505-9
Keywordscaptured sensor data, Communication channels, controlled process, correct functionality, cryptography, delays, denial-of-service attacks, encrypted data, Encryption, forward error correction, hardware-based approach, Loss measurement, malfunctioning systems, NCS, Networked Control System, networked control systems, process control, pubcrawl, Resiliency, Scalability, security, smart factories, telecommunication security, transferred data needs, trustworthy data
Abstract

The importance of Networked Control Systems (NCS) is steadily increasing due to recent trends such as smart factories. Correct functionality of such NCS needs to be protected as malfunctioning systems could have severe consequences for the controlled process or even threaten human lives. However, with the increase in NCS, also attacks targeting these systems are becoming more frequent. To mitigate attacks that utilize captured sensor data in an NCS, transferred data needs to be protected. While using well-known methods such as Transport Layer Security (TLS) might be suitable to protect the data, resource constraint devices such as sensors often are not powerful enough to perform the necessary cryptographic operations. Also, as we will show in this paper, applying simple encryption in an NCS may enable easy Denial-of-Service (DoS) attacks by attacking single bits of the encrypted data. Therefore, in this paper, we present a hardware-based approach that enables sensors to perform the necessary encryption while being robust against (injected) bit failures.

URLhttps://ieeexplore.ieee.org/document/8247636
DOI10.1109/ETFA.2017.8247636
Citation Keyulz_towards_2017