Wenyu Ren
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    • Online, Context-aware, Intelligent Anomaly Detection and Analysis for SCADA Systems
    • Intelligent Synchrophasor Data Real-Time Compression
    • Applied Resiliency for More Trustworthy Grid Operation (ARMORE)
    • Secure and Scalable Data Collection Protocol in Smart Grid
    • Optimal Data Replication in RSU Aided Vehicles Networks
    • Limits of Predictability and Patterns of Vehicular Mobility
    • Optimal Vehicle Number and Coding Decision in Vehicular DTNs
    • Multi-Armed Bandit Problem
    • Green Data Center
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Applied Resiliency for More Trustworthy Grid Operation (ARMORE)

Advisor: Prof. Klara Nahrstedt
MONET Group in UIUC
August 2014–May 2017
Brief Introduction
The objective of this project is to develop a distributed peer-based framework to provide secure information exchange internally in critical infrastructure to increase security and resiliency of grid operation. Through leveraging some core components of the successful Secure Information Ex-change Gateway (SIEGate) platform, this project will significantly improve power-system infor-mation-technology security by augmenting current edge-perimeter security practices with a sys-tem that pushes secure, real-time communication capabilities deeper into utility critical networks, including substations.  This approach will enable the high-speed and secure exchange of information on a peer-to-peer basis.
Our Contribution
  • We design and implement a unique, extensible and efficient operation-level traffic analyzer framework for Smart Grid.
  • We use the Bro network security monitor to acquire statistics in the smart grid and build a multi-level statistic structure of all the packets.
  • We also design a threshold-based anomaly detection algorithm utilizing the multi-level statistic structure.
  • The time overhead and performance evaluations of the analyzer confirm efficiency and accuracy of our analyzer under our simulated Smart Grid operational traffic.
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