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.