Taxonomy of firmware Trojans in smart grid devices

Charalambos Konstantinou, Anastasis Keliris, Michail Maniatakos

2016 · 24 citations · 7 references

Concepts

TL;DR

Modernizing the electric grid with advanced information technologies improves communication and efficiency but also exposes embedded microprocessor devices to firmware attacks, and the lack of a representative taxonomy hampers effective detection and mitigation. The study aims to provide a taxonomy for firmware Trojans and develop benchmark cases for four common smart‑grid devices. The authors construct this taxonomy and create benchmark cases by analyzing firmware Trojans in those four devices.

Abstract

The modernization of the electric grid, utilizing advances in information technologies, has uncovered opportunities for improved communication and efficiency of power systems. While this smart grid environment offers significant economic and reliability benefits, it has also divulged a substantial range of cyber attack issues. Attacks on embedded microprocessor-based devices, like Stuxnet, have demonstrated that the firmware of control equipment can be susceptible to security breaches able to cause great damage to the system. Despite the numerous studies on power systems security, researchers do not have a representative set of benchmarks and taxonomy classes to be able to develop proper detection and mitigation strategies against such attacks. To this end, we provide a taxonomy for firmware Trojans and develop firmware Trojan benchmark cases for four devices commonly found in smart grid deployments.

References

7