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Learning from Smartphone Location Data as Anomaly Detection for Behavioral Authentication through Deep Neuroevolution.

, , , , и . ICISSP, стр. 723-728. SCITEPRESS, (2021)

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Shigeo Yamaguchi

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Rie Shibuya

Fabian Yamaguchi

Ichiro Yamaguchi

 

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Preliminary study about advantageous trajectory anonymization methods based on population., и . COMSNETS, стр. 492-495. IEEE, (2018)Forgery Resistance of User Authentication Methods Using Location, Wi-Fi and Their Correlation., и . ICISSP, стр. 709-716. SCITEPRESS, (2024)GPS-Based Behavioral Authentication Utilizing Distance Coherence., и . DPM/CBT@ESORICS, том 12484 из Lecture Notes in Computer Science, стр. 195-215. Springer, (2020)Effects of Data Sampling Interval on Accuracy of Authentication Using Wi-Fi Information Captured by Smartphone., и . CANDAR (Workshops), стр. 326-331. IEEE, (2021)Score Fusion Method by Neural Network Using GPS and Wi-Fi Log Data., , , и . ISITA, стр. 470-474. IEEE, (2020)One hour term authentication for Wi-Fi information captured by smartphone sensors., и . ISITA, стр. 330-334. IEEE, (2016)Preserving Users' Privacy for Location-Based Services., , и . ANTS, стр. 1-6. IEEE, (2019)Human Factors in Homograph Attack Recognition., , , , , , и . ACNS (2), том 12147 из Lecture Notes in Computer Science, стр. 408-435. Springer, (2020)Disclosure of Multiple "Patient Characteristics" Format Statistics leaks Quasi-identifier Linkage., , и . IWSPA@CODASPY, стр. 15-25. ACM, (2023)Impact of Anonymity Indicator "PFDOC Entropy l-Diversity" on Medical Data Utility., , и . CANDARW, стр. 239-245. IEEE, (2023)