20.500.12556/RUL-171169 $P^2$ESA privacy-preserving environmental sensor-based authentication The presence of Internet of Things (IoT) devices in modern working and living environments is growing rapidly. The data collected in such environments enable us to model users’ behaviour and consequently identify and authenticate them. However, these data may contain information about the user’s current activity, emotional state, or other aspects that are not relevant for authentication. In this work, we employ adversarial deep learning techniques to remove privacy-revealing information from the data while keeping the authentication performance levels almost intact. Furthermore, we develop and apply various techniques to offload the computationally weak edge devices that are part of the machine learning pipeline at training and inference time. Our experiments, conducted on two multimodal IoT datasets, show that P2ESA can be efficiently deployed and trained, and with user identification rates of between 75.85% and 93.31% (c.f. 6.67% baseline), can represent a promising support solution for authentication, while simultaneously fully obfuscating sensitive information. behavioural authentication edge computing ubiquitous sensing vedenjska avtentikacija robno računalništvo vseprisotno zaznavanje true false true Angleški jezik Slovenski jezik Članek v reviji 2025-08-14 14:30:04 2025-08-14 14:30:05 2025-08-15 03:58:16 0000-00-00 00:00:00 2025 0 0 20 str. iss. 15, art. 4842 Vol. 25 Aug. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004 1424-8220 10.3390/s25154842 245655043 RAZ_Krasovec_Andraz_2025.pdf RAZ_Krasovec_Andraz_2025.pdf 1 966879D14ED3F89E8A2FB7F6A07538B6 7c7767baf2da8a0e512cebaffce5dfdc5dd95897313163726dda17e02ed2b352 cac6ecd7-790a-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=214218 https://www.mdpi.com/1424-8220/25/15/4842 1 52dbf52c-790a-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=214215 Fakulteta za računalništvo in informatiko 0 0 0