Jiangfan Zhang — accepted AI-conference papers

2019

Quickest Detection of Time-varying False Data Injection Attacks in Dynamic Smart Grids

ICASSP 2019accepted

Quickest detection of false data injection attacks (FDIAs) in dynamic smart grids is considered in this paper. The unknown time-varying state variables of the smart grid and the FDIAs impose a significant challenge for designing a computationally efficient detector. To address this challenge, we pro…

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2017

Cyber attacks on estimation sensor networks and iots: Impact, mitigation and implications to unattacked systems

Jiangfan Zhang, Rick S. Blum, Lance M. Kaplan

ICASSP 2017accepted

Estimation of an unknown deterministic vector from quantized sensor data is considered in the presence of spoofing and man-in-the-middle attacks. First, asymptotically optimum processing, which identifies and categorizes the attacked sensors into different groups according to distinct types of attac…

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