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Robust FDI Attack Detection Methods for Ship Navigation Systems

This invention belongs to the field of information security technology, specifically relating to a robust FDI attack detection method for ship navigation systems. The invention constructs a linear discrete-time system model and designs an attack detector based on this model. The detector parameters are optimized using the linear matrix inequality method, and an adaptive detection threshold mechanism based on historical mean and standard deviation is designed. This mechanism can dynamically sense changes in system state, making the dynamic attack detection system asymptotically stable and meeting performance indicators.
Owner:LUDONG UNIVERSITY