Keystroke inference attack information

Keystroke inference attacks are a class of privacy-invasive technique that allows attackers to infer what a user is typing on a keyboard.^[1]^[2]^[3]^[4]^[5]^[6]^[7]^[8]

^ Sabra, Mohd; Maiti, Anindya; Jadliwala, Murtuza (2021). "Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks". NDSS Symposium. Internet Society. doi:10.14722/ndss.2021.23063. ISBN 978-1-891562-66-2.
^ Chen, Yimin; Li, Tao; Zhang, Rui; Zhang, Yanchao; Hedgpeth, Terri (2018-05-01). "EyeTell: Video-Assisted Touchscreen Keystroke Inference from Eye Movements". IEEE Symposium on Security and Privacy. IEEE: 144–160. doi:10.1109/SP.2018.00010. ISBN 978-1-5386-4353-2.
^ Li, Mengyuan; Meng, Yan; Liu, Junyi; Zhu, Haojin; Liang, Xiaohui; Liu, Yao; Ruan, Na (2016-10-24). "When CSI Meets Public WiFi: Inferring Your Mobile Phone Password via WiFi Signals". ACM CCS. ACM: 1068–1079. doi:10.1145/2976749.2978397. ISBN 978-1-4503-4139-4.
^ Halevi, T.; Saxena, N. (2012-05-02). "A closer look at keyboard acoustic emanations: random passwords, typing styles and decoding techniques". ACM CCS. ACM: 89–90. doi:10.1145/2414456.2414509. ISBN 978-1-4503-1648-4.
^ Marquardt, Philip; Verma, Arunabh; Carter, Henry; Traynor, Patrick (2011-10-17). "(sp)iPhone: decoding vibrations from nearby keyboards using mobile phone accelerometers". ACM CCS. ACM: 551–562. doi:10.1145/2046707.2046771. ISBN 978-1-4503-0948-6.
^ Cai, Liang; Chen, Hao (2011). "{TouchLogger}: Inferring Keystrokes on Touch Screen from Smartphone Motion". USENIX HotSec'11.
^ Liu, Xiangyu; Zhou, Zhe; Diao, Wenrui; Li, Zhou; Zhang, Kehuan (2015-10-12). "When Good Becomes Evil: Keystroke Inference with Smartwatch". ACM CCS. ACM: 1273–1285. doi:10.1145/2810103.2813668. ISBN 978-1-4503-3832-5.
^ Ali, Kamran; Liu, Alex X.; Wang, Wei; Shahzad, Muhammad (2015-09-07). "Keystroke Recognition Using WiFi Signals". ACM CCS. ACM: 90–102. doi:10.1145/2789168.2790109. ISBN 978-1-4503-3619-2.

[:0-1] Sabra, Mohd; Maiti, Anindya; Jadliwala, Murtuza (2021). "Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks". NDSS Symposium. Internet Society. doi:10.14722/ndss.2021.23063. ISBN 978-1-891562-66-2.

[2] Chen, Yimin; Li, Tao; Zhang, Rui; Zhang, Yanchao; Hedgpeth, Terri (2018-05-01). "EyeTell: Video-Assisted Touchscreen Keystroke Inference from Eye Movements". IEEE Symposium on Security and Privacy. IEEE: 144–160. doi:10.1109/SP.2018.00010. ISBN 978-1-5386-4353-2.

[3] Li, Mengyuan; Meng, Yan; Liu, Junyi; Zhu, Haojin; Liang, Xiaohui; Liu, Yao; Ruan, Na (2016-10-24). "When CSI Meets Public WiFi: Inferring Your Mobile Phone Password via WiFi Signals". ACM CCS. ACM: 1068–1079. doi:10.1145/2976749.2978397. ISBN 978-1-4503-4139-4.

[4] Halevi, T.; Saxena, N. (2012-05-02). "A closer look at keyboard acoustic emanations: random passwords, typing styles and decoding techniques". ACM CCS. ACM: 89–90. doi:10.1145/2414456.2414509. ISBN 978-1-4503-1648-4.

[5] Marquardt, Philip; Verma, Arunabh; Carter, Henry; Traynor, Patrick (2011-10-17). "(sp)iPhone: decoding vibrations from nearby keyboards using mobile phone accelerometers". ACM CCS. ACM: 551–562. doi:10.1145/2046707.2046771. ISBN 978-1-4503-0948-6.

[6] Cai, Liang; Chen, Hao (2011). "{TouchLogger}: Inferring Keystrokes on Touch Screen from Smartphone Motion". USENIX HotSec'11.

[7] Liu, Xiangyu; Zhou, Zhe; Diao, Wenrui; Li, Zhou; Zhang, Kehuan (2015-10-12). "When Good Becomes Evil: Keystroke Inference with Smartwatch". ACM CCS. ACM: 1273–1285. doi:10.1145/2810103.2813668. ISBN 978-1-4503-3832-5.

[8] Ali, Kamran; Liu, Alex X.; Wang, Wei; Shahzad, Muhammad (2015-09-07). "Keystroke Recognition Using WiFi Signals". ACM CCS. ACM: 90–102. doi:10.1145/2789168.2790109. ISBN 978-1-4503-3619-2.

Keystroke inference attack information

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