Expelliarmus: Command Cancellation Attacks on Smartphones using Electromagnetic Interference
Ming Gao, Fu Xiao, Weiran Liu, Wentao Guo, Yangtao Huang, Yajie Liu, Jinsong Han
Abstract
Human-machine interactions (HMIs), e.g., touchscreens, are essential for users to interact with mobile devices. They are also beneficial in resisting emerging active attacks, which aim at maliciously controlling mobile devices, e.g., smartphones and tablets. With touchscreen-like HMIs, users can notice and interrupt malicious actions conducted by the attackers timely and perform necessary countermeasures, e.g., tapping the ‘Quit’ button on the touchscreen. However, the effect of HMI-oriented active attacks has not been investigated yet. In this paper, we present a practical attack towards touch-based devices, namely Expelliarmus. It reveals a new attack surface of active attacks for hijacking users’ operations and thus taking full control over victim devices. Expelliarmus neutralizes users’ touch commands by producing a reverse current via electromagnetic interference (EMI). Since the reverse current offsets the current change caused by a touch, the touchscreen detects no current change and thus ignores users’ commands. Besides this basic denial-of-service attack, we also realize a target cancellation attack, which can neutralize target commands, e.g., ‘Quit’ without interference in irrelevant operations. Thus, the active attack can be completely performed without interruption from users, even if they are alerted by the abnormal events. Extensive evaluations demonstrate the effectiveness of Expelliarmus on 29 off-the-shelf devices.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers3
- SoK: Security of Cyber-physical Systems Under Intentional Electromagnetic Interference AttacksQinhong Jiang, Yan Long, Youqian Zhang, Chen Yan et al.USENIX Security 2026
- PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDARZizhi Jin, Qinhong Jiang, Xuancun Lu, Chen Yan et al.NDSS 2025
- GhostShot: Manipulating the Image of CCD Cameras with Electromagnetic InterferenceYanze Ren, Qinhong Jiang, Chen Yan, Xiaoyu Ji et al.NDSS 2025
Builds on15
- DolphinAttack: Inaudible Voice CommandsGuoming Zhang, Chen Yan, Xiaoyu Ji, Tianchen Zhang et al.CCS 2017 · 753 citations
- CommanderSong: A Systematic Approach for Practical Adversarial Voice RecognitionXuejing Yuan, Yuxuan Chen, Yue Zhao, Yunhui Long et al.USENIX Security 2018 · 389 citations
- Trick or Heat?: Manipulating Critical Temperature-Based Control Systems Using Rectification AttacksYazhou Tu, Sara Rampazzi, Bin Hao, Angel Rodriguez et al.CCS 2019 · 87 citations
- Push the Limit of Acoustic Gesture RecognitionYanwen Wang, Jiaxing Shen, Yuanqing ZhengINFOCOM 2020 · 80 citations
- Detection of Electromagnetic Interference Attacks on Sensor SystemsYouqian Zhang, Kasper RasmussenS&P 2020 · 68 citations
Related papers
- Invisible Finger: Practical Electromagnetic Interference Attack on Touchscreen-based Electronic DevicesHaoqi Shan, Boyi Zhang, Zihao Zhan, Dean Sullivan et al.S&P 2022 · 17 citations
- GhostTouch: Targeted Attacks on Touchscreens without Physical TouchKai Wang, Richard Mitev, Chen Yan, Xiaoyu Ji et al.USENIX Security 2022
- Tap 'n Ghost: A Compilation of Novel Attack Techniques against Smartphone TouchscreensSeita Maruyama, Satohiro Wakabayashi, Tatsuya MoriS&P 2019 · 39 citations
- No Pardon for the Interruption: New Inference Attacks on Android Through Interrupt Timing AnalysisWenrui Diao, Xiangyu Liu, Zhou Li, Kehuan ZhangS&P 2016 · 79 citations
- Periscope: A Keystroke Inference Attack Using Human Coupled Electromagnetic EmanationsWenqiang Jin, Srinivasan Murali, Huadi Zhu, Ming LiCCS 2021 · 34 citations
