US Patent 11751057 Security-enhanced deep learning fingerprint-based indoor localization

An exemplary radio fingerprint-based indoor localization method and system is disclosed that is resistant to spoofing or jamming attacks (e.g., at nearby radios, e.g., access points), among other types of interference. The exemplary method and system may be applied in the configuring of a secured convolutional neural network (S-CNNLOC) or secured deep neural network configured for attack-resistant fingerprint-based indoor localization.