POWERFUL: Mobile app fingerprinting via power analysis

Author:

Chen Yimin,Jin Xiaocong,Sun Jingchao,Zhang Rui,Zhang Yanchao

Publisher

IEEE

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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