Gap analysis of intrusion detection in smart grids

Authors

Nishchal Kush, Queensland University of Technology
Ernest Foo, Queensland University of Technology
Ejaz Ahmed, Queensland University of Technology
Irfan Ahmed, Queensland University of Technology
Andrew Clark, Queensland University of Technology

Document Type

Article

Publisher

School of Computer and Information Science, Security Research Centre, Edith Cowan University, Perth, Western Australia

Comments

Originally published in the Proceedings of the 2nd International Cyber Resilience Conference, Edith Cowan University, Perth Western Australia, 1st - 2nd August 2011

Abstract

Given the recent emergence of the smart grid and smart grid related technologies, their security is a prime concern. Intrusion detection provides a second line of defence. However, conventional intrusion detection systems (IDSs) are unable to adequately address the unique requirements of the smart grid. This paper presents a gap analysis of contemporary IDSs from a smart grid perspective. This paper highlights the lack of adequate intrusion detection within the smart grid and discusses the limitations of current IDSs approaches. The gap analysis identifies current IDSs as being unsuited to smart grid application without significant changes to address smart grid specific requirements.