POWERFUL: Mobile app fingerprinting via power analysis
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8049192/8056940/08057232.pdf?arnumber=8057232
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. mmFingerprint: A New Application Fingerprinting Technique via mmWave Sensing and Its Use in Rowhammer Detection;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
2. The Danger of Minimum Exposures: Understanding Cross-App Information Leaks on iOS through Multi-Side-Channel Learning;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15
3. Mobile applications identification using autoencoder based electromagnetic side channel analysis;Journal of Information Security and Applications;2023-06
4. Uncovering User Interactions on Smartphones via Contactless Wireless Charging Side Channels;2023 IEEE Symposium on Security and Privacy (SP);2023-05
5. Passive Fingerprinting of Same-Model Electrical Devices by Current Consumption;Sensors;2023-01-03
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