05/13/2016 - 8:35am The chosen candidate, Gabriel Weaver, will focus on designingbetter ways to assess the safety and security of cyber-physical systems.
05/12/2016 - 7:41am Researchers, including ITI's Ravi Iyer and Zbigniew Kalbarczyk, are tackling real-world issues to improve the cyber security and resiliency of power plants and the smart grid.
04/01/2016 - 7:42am Jeffrey Bigg, a CS grad student, investigated new technologies presented at the Consumer Electronic Show to bring to CIRI, a Department of Homeland Security Center of Excellence aimed at improving critical infrastructure resilience.
03/02/2016 - 9:41am An expert in the areas of technology and law, Jay Kesan spoke with News Bureau business and law editor Phil Ciciora about the Cybersecurity National Action Plan, President Obama's new initiative to strengthen the nation's cyberdefenses over the next decade.
01/25/2016 - 11:02am ITI researcher Tom Overbye and others are hoping to shed light on the rare but powerful geomagnetic storms, which remain a relative mystery to most people in the field.
11/20/2015 - 4:24am Researchers are looking at how an attacker can destabilize grid control systems and demand response systems, and creating new methodology to address those attacks.
11/10/2015 - 5:18am ITI researcher William H. Sanders has received the 2016 IEEE Technical Field Award, Innovation in Societal Infrastructure, for his revolutionary work concerning the cybersecurity of the power grid.
11/03/2015 - 4:26am On the heels of the success of its first product, NP-View, Illinois start-up Network Perceptions prepares to launch new software tool, NP-Live, in the marketplace.
11/02/2015 - 8:34am The University was selected to be a part of the Cyber Resilient Energy Delivery Consortium (CREDC) to help in the quest to develop better energy delivery protection systems.
10/28/2015 - 10:30am She discusses a new, robust system for synchronizing Phasor Measurement Units, which are used to measure conditions of the power grid and provide assistance with real-time operations and off-line analysis to improve reliability and efficiency.
10/20/2015 - 8:46am The paper evaluates the suitability of the Auto-Regressive Integrated Moving Average (ARIMA) model in forecasting short-term electricity consumption.