A privacy-preserving protocol for indoor wi-fi localization. - Samuel N. Eshun; Paolo Palmieri 001 (CF, 2019)

Two de-anonymization attacks on real-world location data based on a hidden Markov model. - Samuel N. Eshun; Paolo Palmieri 001 (EuroS&P Workshops, 2022)

A Cryptographic Protocol for Efficient Mutual Location Privacy Through Outsourcing in Indoor Wi-Fi Localization. - Samuel N. Eshun; Paolo Palmieri 001 (IEEE Trans. Inf. Forensics Secur., 2024)

De-anonymisation of real-world location traces: two attacks based on the hidden Markov model. - Samuel N. Eshun; Paolo Palmieri 001 (J. Locat. Based Serv., 2024)