Authentication and Integrity in the Smart Grid: An Empirical Study in Substation Automation Systems
Xiang Lu,
Wenye Wang and
Jianfeng Ma
International Journal of Distributed Sensor Networks, 2012, vol. 8, issue 6, 175262
Abstract:
The smart grid is an emerging technology that integrates power infrastructures with information technologies to enable intelligent energy managements. As one of the most important facilities of power infrastructures, electrical substations undertake responsibilities of energy transmissions and distributions by operating interconnected electrical devices in a coordinated manner. Accordingly, it imposes a great challenge on information security, since any falsifications may trigger mal-operations, and result in damages to power usage. In this paper, we aim at authentication and integrity protections in substation automation systems (SAS), by an experimental approach on a small scale SAS prototype, in which messages are transmitted with commonly-used data origin authentication schemes, such as RSA, Message Authentication Code, and One-Time Signature. Through experimental results, we find that, current security solutions cannot be applied directly into the SAS due to insufficient performance considerations in response to application constraints, including limited device computation capabilities, stringent timing requirements and high data sampling rates. Moreover, intrinsic limitations of security schemes, such as complicated computations, shorter key valid time and limited key supplies, can easily be hijacked by malicious attackers, to undermine message deliveries, thus becoming security vulnerabilities. Our experimental results demonstrate guidelines in design of novel security schemes for the smart grid.
Date: 2012
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1155/2012/175262 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:8:y:2012:i:6:p:175262
DOI: 10.1155/2012/175262
Access Statistics for this article
More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().