OLAF: Operation-level traffic analyzer framework for Smart Grid

Wenyu Ren, Steve Granda, Tim Yardley, King Shan Lui, Klara Nahrstedt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The current Smart Grid supervisory control and data acquisition (SCADA) systems are primarily protected at the perimeter level with firewalls at the boundary of the networks. However, besides the attacks coming from the external Internet, internal attacks are equally concerning. Therefore, systems need to be protected from internal attacks within the perimeter. In Smart Grid, the Field Devices (FDs) are resource-constrained devices that do not have the ability to provide security analysis and protection by themselves. And the commonly used industrial control system protocols offer little security guarantee. To guarantee security inside the system, analysis and inspection of both internal network traffic and device status need to be placed close to FDs to provide timely information to power grid operators. For that, we have designed a unique, extensible and efficient operation-level traffic analyzer framework named OLAF. The time overhead and performance evaluations of the analyzer confirm efficiency and accuracy under our simulated Smart Grid operational traffic.

Original languageEnglish (US)
Title of host publication2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages551-556
Number of pages6
ISBN (Electronic)9781509040759
DOIs
StatePublished - Dec 8 2016
Event7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia
Duration: Nov 6 2016Nov 9 2016

Publication series

Name2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

Other

Other7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
CountryAustralia
CitySydney
Period11/6/1611/9/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Signal Processing

Fingerprint Dive into the research topics of 'OLAF: Operation-level traffic analyzer framework for Smart Grid'. Together they form a unique fingerprint.

  • Cite this

    Ren, W., Granda, S., Yardley, T., Lui, K. S., & Nahrstedt, K. (2016). OLAF: Operation-level traffic analyzer framework for Smart Grid. In 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 (pp. 551-556). [7778819] (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartGridComm.2016.7778819