BudsAuth: Towards Gesture-Wise Continuous User Authentication Through Earbuds Vibration Sensing

计算机科学 手势 认证(法律) 手势识别 语音识别 人机交互 计算机视觉 人工智能 计算机网络 计算机安全
作者
Yong Wang,Tianyu Yang,Chunxiao Wang,Feng Li,Pengfei Hu,Yiran Shen
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:11 (12): 22007-22020 被引量:2
标识
DOI:10.1109/jiot.2024.3380811
摘要

The surge in popularity of wireless headphones, particularly wireless earbuds, as smart wearables, has been notable in recent years. These devices, empowered by artificial intelligence (AI), are broadening their utility in areas such as speech recognition, augmented reality, pose recognition, and health care monitoring, thereby enriching user experiences through novel interactive interfaces driven by embedded sensors. However, the widespread adoption of wireless earbuds has spurred concerns regarding security and privacy, necessitating robust bespoke security measures. Despite the miniaturization of mobile chips enabling the integration of sophisticated algorithms into smart wearables, the research and industrial communities have yet to accord adequate attention to earbud security. This paper focuses on empowering wireless earbuds to authenticate their legitimate users, tackling the challenges associated with conventional authentication methods. Instead of relying on input interface authentication methods like PIN or lock patterns, this research delves into leveraging Inertial Measurement Unit (IMU) data collected during interactions with devices to extract novel biometric features, presenting an alternative approach that nonetheless confronts challenges related to signal capture and interference. Consequently, we propose and design BudsAuth, an implicit user authentication framework that harnesses built-in IMU sensors in smart earbuds to capture vibration signals induced by on-face touching interactions with the earbuds. These vibrations are utilized to deliver continuous and implicit user authentication with high precision and compatibility across various earbud models. Extensive evaluation demonstrates BudsAuth's capability to achieve an Equal Error Rate (EER) of 0.0003, representing an approximate 99.97% accuracy with seven consecutive samples of interactive gestures for implicit authentication.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Ares完成签到,获得积分10
刚刚
1秒前
xiying完成签到 ,获得积分10
2秒前
开朗的绮山完成签到,获得积分10
3秒前
qwe完成签到,获得积分10
3秒前
小权拳的权完成签到,获得积分10
4秒前
EVER完成签到 ,获得积分10
4秒前
502s完成签到,获得积分10
6秒前
9秒前
桃子完成签到 ,获得积分10
9秒前
昆昆完成签到,获得积分10
9秒前
欣欣子完成签到 ,获得积分10
9秒前
在路上完成签到,获得积分0
11秒前
LLLLLLLL发布了新的文献求助10
12秒前
eternal_dreams完成签到 ,获得积分10
13秒前
14秒前
Ling完成签到,获得积分10
17秒前
王十二完成签到 ,获得积分10
17秒前
dypdyp应助Wang采纳,获得10
17秒前
研友_8RlQ2n完成签到,获得积分10
18秒前
Zhangll完成签到,获得积分10
19秒前
肖耶啵完成签到,获得积分10
20秒前
好困发布了新的文献求助10
20秒前
Ranrunn完成签到,获得积分10
20秒前
LLLLLLLL完成签到,获得积分10
22秒前
DrLuffy完成签到 ,获得积分10
22秒前
奈何桥完成签到,获得积分10
23秒前
无语的断缘完成签到,获得积分10
27秒前
amwlsai完成签到,获得积分10
29秒前
闪闪青雪完成签到,获得积分10
29秒前
踏实大侠完成签到,获得积分10
29秒前
舒心老五发布了新的文献求助10
30秒前
小詹完成签到,获得积分10
30秒前
double完成签到,获得积分20
30秒前
30秒前
KUZZZ完成签到,获得积分10
30秒前
vivi发布了新的文献求助20
31秒前
外向行云完成签到,获得积分10
31秒前
慕青应助KUZZZ采纳,获得10
34秒前
高大绝义完成签到,获得积分10
34秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3968578
求助须知:如何正确求助?哪些是违规求助? 3513406
关于积分的说明 11167631
捐赠科研通 3248853
什么是DOI,文献DOI怎么找? 1794499
邀请新用户注册赠送积分活动 875150
科研通“疑难数据库(出版商)”最低求助积分说明 804671