S2M: A Lightweight Acoustic Fingerprints-Based Wireless Device Authentication Protocol
S2M: A Lightweight Acoustic Fingerprints-Based Wireless Device Authentication Protocol
复制标题
S2M：一种基于声学指纹的轻量级无线设备身份验证协议
DOI：
10.1109/jiot.2016.2619679
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发表时间：
2017-02-01
影响因子：
10.6
通讯作者：
Li, Xiang-Yang
中科院分区：
文献类型：
--
作者：
Chen, Dajiang;Zhang, Ning;Li, Xiang-Yang
对于新兴的物联网 (IoT) 来说，设备身份验证是一个关键且具有挑战性的问题。一种有前途的物联网设备身份验证解决方案是利用硬件和制造不一致引起的传输信号变化来提取指纹来执行设备身份验证。在本文中，我们提出了一种轻量级设备身份验证协议[称为扬声器到麦克风（S2M）]，利用两个无线物联网设备的扬声器和麦克风的频率响应作为声学硬件指纹。 S2M通过分别匹配学习过程和验证过程中提取的指纹来验证合法用户。为了验证和评估S2M的性能，我们在手机和PC上设计并实现了它，大量的实验结果表明，S2M在不同攻击下的各种场景下都实现了低误报率和低误报率。
Device authentication is a critical and challenging issue for the emerging Internet of Things (IoT). One promising solution to authenticate IoT devices is to extract a fingerprint to perform device authentication by exploiting variations in the transmitted signal caused by hardware and manufacturing inconsistencies. In this paper, we propose a lightweight device authentication protocol [named speaker-to-microphone (S2M)] by leveraging the frequency response of a speaker and a microphone from two wireless IoT devices as the acoustic hardware fingerprint. S2M authenticates the legitimate user by matching the fingerprint extracted in the learning process and the verification process, respectively. To validate and evaluate the performance of S2M, we design and implement it in both mobile phones and PCs and the extensive experimental results show that S2M achieves both low false negative rate and low false positive rate in various scenarios under different attacks.