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Klara Nahrstedt - One of the best experts on this subject based on the ideXlab platform.

  • HotSoS - Operation-Level traffic analyzer framework for smart grid
    Proceedings of the Symposium and Bootcamp on the Science of Security - HotSos '16, 2016
    Co-Authors: Wenyu Ren, Klara Nahrstedt, Tim Yardley
    Abstract:

    The Smart Grid control systems need to be protected from internal attacks within the perimeter. In Smart Grid, the Intelligent Electronic Devices (IEDs) 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 IEDs to provide timely information to power grid operators. For that, we have designed a unique, extensible and efficient Operation-Level traffic analyzer framework. The timing evaluation of the analyzer overhead confirms efficiency under Smart Grid Operational traffic.

  • SmartGridComm - OLAF: Operation-Level traffic analyzer framework for Smart Grid
    2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016
    Co-Authors: Wenyu Ren, Tim Yardley, Steve Granda, King-shan Lui, Klara Nahrstedt
    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.

Wenyu Ren - One of the best experts on this subject based on the ideXlab platform.

  • HotSoS - Operation-Level traffic analyzer framework for smart grid
    Proceedings of the Symposium and Bootcamp on the Science of Security - HotSos '16, 2016
    Co-Authors: Wenyu Ren, Klara Nahrstedt, Tim Yardley
    Abstract:

    The Smart Grid control systems need to be protected from internal attacks within the perimeter. In Smart Grid, the Intelligent Electronic Devices (IEDs) 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 IEDs to provide timely information to power grid operators. For that, we have designed a unique, extensible and efficient Operation-Level traffic analyzer framework. The timing evaluation of the analyzer overhead confirms efficiency under Smart Grid Operational traffic.

  • SmartGridComm - OLAF: Operation-Level traffic analyzer framework for Smart Grid
    2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016
    Co-Authors: Wenyu Ren, Tim Yardley, Steve Granda, King-shan Lui, Klara Nahrstedt
    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.

Tim Yardley - One of the best experts on this subject based on the ideXlab platform.

  • HotSoS - Operation-Level traffic analyzer framework for smart grid
    Proceedings of the Symposium and Bootcamp on the Science of Security - HotSos '16, 2016
    Co-Authors: Wenyu Ren, Klara Nahrstedt, Tim Yardley
    Abstract:

    The Smart Grid control systems need to be protected from internal attacks within the perimeter. In Smart Grid, the Intelligent Electronic Devices (IEDs) 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 IEDs to provide timely information to power grid operators. For that, we have designed a unique, extensible and efficient Operation-Level traffic analyzer framework. The timing evaluation of the analyzer overhead confirms efficiency under Smart Grid Operational traffic.

  • SmartGridComm - OLAF: Operation-Level traffic analyzer framework for Smart Grid
    2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016
    Co-Authors: Wenyu Ren, Tim Yardley, Steve Granda, King-shan Lui, Klara Nahrstedt
    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.

John B. Kaneene - One of the best experts on this subject based on the ideXlab platform.

  • An Operation-Level prospective study of risk factors associated with the incidence density of lameness in Michigan (USA) equine Operations
    Preventive Veterinary Medicine, 1996
    Co-Authors: Whitney A. Ross, John B. Kaneene
    Abstract:

    Abstract A prospective cohort study of lameness in Michigan equids was conducted using the Michigan Equine Monitoring System (MEMS) Phase-II database. MEMS Phase II was an equine health-monitoring study of 138 randomly-selected Michigan equine Operations. Management and health-related data were collected for Operations in two 12-month periods. The median incidence density of lameness was 2.8 cases per 10000 horse-days at-risk (Minimum = 0; 25th Quartale (Q) = 0; 75th Q = 10.2; Maximum = 48.5). Equine Operation-management and environmental risk factors associated with the incidence density of lameness were assessed using multivariable Poisson regression. Management risk factors associated with the incidence density of lameness included the total Operation horse-days monitored (3rd Q: Relative Risk (RR) = 0.46; 95% Confidence Interval (CI): 0.29–0.71 and 4th Q: RR = 0.24; 95% CI: 0.16–0.37), the veterinary-related services score (3rd Q: RR = 0.61; 95% CI: 0.39–0.96 and 4th Q: RR = 1.45; 95% CI: 1.01–2.08), the farrier-related services score (4th Q: RR = 1.60; 95% CI: 1.07–2.42) and Operations having equids participating in exercise-related activities (RR = 1.71; 95% CI: 1.16–2.50). Environmental risk factors associated with the incidence density of lameness included Operations with stalls having medium flooring (RR = 0.48; 95% CI: 0.35–0.65), Operations with stalls having loose flooring (RR = 2.78; 95% CI: 1.88–4.10) and Operations using straw-like materials for stall bedding (RR = 2.02; 95% CI: 1.53–2.68).

Yijun Wang - One of the best experts on this subject based on the ideXlab platform.

  • The evaluation of Operation performance of HVAC system based on the ideal Operation Level of system
    Energy and Buildings, 2016
    Co-Authors: Xing Fang, Xinqiao Jin, Yijun Wang
    Abstract:

    Abstract This paper presents an evaluation method of Operation performance of a HVAC system based on the ideal Operation Level of system. The HVAC system is divided into three subsystems and the ideal exergy flow model of each subsystem is set up based on exergy analysis. The ideal Operation Level of subsystem is defined and obtained by minimizing avoidable part of exergy destruction caused by the control condition. Based on the ideal Operation Levels of three HVAC subsystems, the ideal Operation Level of the HVAC system is set up. The evaluation index-improvement potential (IPsys) is defined to evaluate the Operation performance of the HVAC system based on the ideal Operation Level. Five control strategies are applied in the HVAC system to validate the evaluation index and the evaluation method. The results show that the daily IPsys of using the global optimization control strategy on a typical day is 0.115 and is the smallest among those five strategies. It implies that the Operation performance of the HVAC system with the global optimization control strategy is the closest to the idea Operation Level. The evaluation results indicate that the evaluation method not only can evaluate the Operation performance of the HVAC system, but also can give the direction for improving the Operation performance of the HVAC system.