Applying Machine Learning on RSRP-based Features for False Base Station Detection. (arXiv:2207.10999v1 [cs.CR])

False base stations -- IMSI catchers, Stingrays -- are devices that
impersonate legitimate base stations, as a part of malicious activities like
unauthorized surveillance or communication sabotage. Detecting them on the
network side using 3GPP standardized measurement reports is a promising
technique. While applying predetermined detection rules works well when an
attacker operates a false base station with an illegitimate Physical Cell
Identifiers (PCI), the detection will produce false negatives when a more
resourceful attacker operates the false base station …

base detection features machine machine learning