TY - GEN
T1 - OLAF
T2 - 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
AU - Ren, Wenyu
AU - Granda, Steve
AU - Yardley, Tim
AU - Lui, King Shan
AU - Nahrstedt, Klara
N1 - Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/12/8
Y1 - 2016/12/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85010209029&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010209029&partnerID=8YFLogxK
U2 - 10.1109/SmartGridComm.2016.7778819
DO - 10.1109/SmartGridComm.2016.7778819
M3 - Conference contribution
AN - SCOPUS:85010209029
T3 - 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
SP - 551
EP - 556
BT - 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 November 2016 through 9 November 2016
ER -