Magnetic Material Modelling of Electrical Machines

Belahcen, Anouar; Pires, A. J.; Pires, V. Fernão

doi:10.3390/en16020654

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…Coil whine, a.k.a., electromagnetically induced acoustic noise, is a microphonics phenomenon. As shown in Figure 1, it is generated by the vibration or deformation of coil materials under the excitation of a series of electromagnetic forces, including Maxwell stress tensor, magnetostriction, and Lorentz force [10]. Coil whine can be in different frequency ranges, making it either human audible (between 20 Hz and 20 kHz) or inaudible [71].…”

Section: B Physical Phenomena Generated By Wireless Chargingmentioning

confidence: 99%

Uncovering User Interactions on Smartphones via Contactless Wireless Charging Side Channels

Zhang

Zuo

et al. 2023

2023 IEEE Symposium on Security and Privacy (SP)

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Today, there is an increasing number of smartphones supporting wireless charging that leverages electromagnetic induction to transmit power from a wireless charger to the charging smartphone. In this paper, we report a new contactless and context-aware wireless-charging side-channel attack, which captures two physical phenomena (i.e., the coil whine and the magnetic field perturbation) generated during this wireless charging process and further infers the user interactions on the charging smartphone. We design and implement a threestage attack framework, dubbed WISERS, to demonstrate the practicality of this new side channel. WISERS first captures the coil whine and the magnetic field perturbation emitted by the wireless charger, then infers (i) inter-interface switches (e.g., switching from the home screen to an app interface) and (ii) intra-interface activities (e.g., keyboard inputs inside an app) to build user interaction contexts, and further reveals sensitive information. We extensively evaluate the effectiveness of WISERS with popular smartphones and commercial-off-theshelf (COTS) wireless chargers. Our evaluation results suggest that WISERS can achieve over 90.4% accuracy in inferring sensitive information, such as screen-unlocking passcode and app launch. In addition, our study also shows that WISERS is resilient to a list of impact factors.

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Section: B Physical Phenomena Generated By Wireless Chargingmentioning

confidence: 99%