PINNs are applied in a proof-of-concept to mitigate attacks on liquid pump controllers in water distribution networks by incorporating physical flow laws into network training.
False data injection attacks against state estimation in wireless sensor networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2020 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Physics-Informed Neural Networks for Securing Water Distribution Systems
PINNs are applied in a proof-of-concept to mitigate attacks on liquid pump controllers in water distribution networks by incorporating physical flow laws into network training.