Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping
Author:
Affiliation:
1. Hunan University, Changsha, China
2. Nanyang Technological University, Singapore, Singapore
3. Fudan University, Shanghai, China
Funder
Ministry of Education, Singapore
National Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research & Development Programme
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3576915.3623088
Reference72 articles.
1. Keystroke Recognition Using WiFi Signals
2. Apple Inc. 2023. Buy iPhone 13. https://www.apple.com/sg/shop/buy-iphone/iphone-13. Online; accessed 12 February 2023.
3. Shaojie Bai, J. Zico Kolter, and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arXiv preprint arXiv:1803.01271 (2018).
4. The World Bank. 2023. Mobile ID. https://id4d.worldbank.org/guide/mobile-id. Online; accessed 25 March 2023.
5. A theory of learning from different domains
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