@inproceedings{8244e3eee3084e7c8099d2b8bed1ea66,
title = "Looking through your smartphone screen to steal your pin using a 3D camera",
abstract = "Recent research shows that video recordings of the user{\textquoteright}s hand movement and his or her smartphone screen display can be used to steal sensitive information such as pins and passwords. The methods presented in the past assume the victim to be present in a well illuminated place. In this paper, we present a novel attack on the smartphone users{\textquoteright} pins that does not require a highly illuminated room and works even in the complete darkness. We use a DS325 Soft Kinect camera to record the users{\textquoteright} interaction with their smartphones while they type their pins. Using the 900 short RGBD video recording of the pin entry process from 30 different users, we show our attack was able to break 43% of the pins in the first attempt and 61% of the pins in the first 10 attempts. With the advancements in the quality and accessibility of the depth-sensing cameras day by day, we believe our work exposes a major security risk in the present and future and calls the community to take a closer look at the security measures for the usage of the smart devices.",
keywords = "3D video recording, Infra red sensor, Pins and passwords, Security, Smartphone",
author = "Diksha Shukla and Phoha, {Vir V.} and Saurav Prakash",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; Computing Conference, 2018 ; Conference date: 10-07-2018 Through 12-07-2018",
year = "2019",
doi = "10.1007/978-3-030-01177-2_73",
language = "English (US)",
isbn = "9783030011765",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "1010--1020",
editor = "Supriya Kapoor and Rahul Bhatia and Kohei Arai",
booktitle = "Intelligent Computing - Proceedings of the 2018 Computing Conference",
}