Characterizing Contactless Side-channel Eavesdropping on Wireless Chargers

作者
Tao Ni,Xiaokuan Zhang,Chaoshun Zuo,Jianfeng Li,Wubing Wang,Weitao Xu,Xiapu Luo,Qingchuan Zhao
出处
期刊:IEEE Transactions on Dependable and Secure Computing [IEEE Computer Society]
卷期号:: 1-18
标识
DOI:10.1109/tdsc.2025.3631748
摘要

Today, there are an increasing number of smartphones equipped with wireless charging capabilities that use electromagnetic induction to transfer power from a wireless charger to devices that are being charged. In this paper, we unveil a novel contactless and context-aware side-channel attack in wire less charging, which harnesses two physical phenomena, i.e., the coil whine and the magnetic field perturbations, emanating from the wireless charging process and further infers user interactions on the charging smartphone. To validate the feasibility of this new side channel, we design and implement a three-stage attack framework, dubbed WISERS+, that first captures the coil whine and the magnetic field perturbation emitted by the wireless charger, then infers (i) inter-interface switches (e.g., switching from the home screen to an app interface) and (ii) intra-interface activities (e.g., keyboard inputs inside an app) to build user interaction contexts, and further reveals sensitive information. We extensively evaluate the effectiveness of our proposed attacks with different commercial-off-the-shelf (COTS) smartphones and wireless chargers. Our evaluation results suggest that WISERS+canachieve over 90.4% accuracy in inferring sensitive information, such as the unlocking passcode on the screen and the launch of mobile apps. In addition, our study also demonstrates that WISERS+ is resilient to several practical impact factors, and presents its potential to be extended to attack the fast charging mode. Finally, we propose effective countermeasures and mitigate threats from the WISERS+ attack.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
蛮橙发布了新的文献求助10
1秒前
1秒前
科研通AI6.4应助徐小薛采纳,获得10
1秒前
搜集达人应助huaming采纳,获得10
1秒前
1秒前
刘雪完成签到 ,获得积分10
1秒前
确幸发布了新的文献求助10
1秒前
丰富以亦发布了新的文献求助30
2秒前
阡陌应助AN采纳,获得10
2秒前
2秒前
葱爆猪大肠完成签到,获得积分20
2秒前
小新完成签到,获得积分20
2秒前
3秒前
激动的访文完成签到,获得积分10
3秒前
3秒前
甜橙岛发布了新的文献求助10
3秒前
可爱的函函应助NING采纳,获得10
3秒前
社会浩完成签到,获得积分10
4秒前
5秒前
bodhi发布了新的文献求助10
5秒前
OAIX完成签到,获得积分10
5秒前
绝爱薄饼发布了新的文献求助10
6秒前
6秒前
gao发布了新的文献求助10
7秒前
xul279完成签到,获得积分10
7秒前
huaming完成签到,获得积分10
7秒前
7秒前
7秒前
赘婿应助闪闪采纳,获得10
8秒前
科目三应助Sindy采纳,获得10
8秒前
生动的天空完成签到,获得积分10
8秒前
十七发布了新的文献求助10
8秒前
蓝梦之旅完成签到,获得积分10
8秒前
業業完成签到,获得积分10
9秒前
共享精神应助astroecho采纳,获得10
9秒前
梁晓元完成签到,获得积分10
9秒前
9秒前
9秒前
9秒前
huang应助Gao采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7689278
求助须知:如何正确求助?哪些是违规求助? 9251495
关于积分的说明 19971235
捐赠科研通 7262195
什么是DOI,文献DOI怎么找? 3290299
关于科研通互助平台的介绍 2447078
邀请新用户注册赠送积分活动 2294956