DeMiCPU: Device Fingerprinting with Magnetic Signals Radiated by CPU

被引:54
作者
Cheng, Yushi [1 ]
Ji, Xiaoyu [1 ]
Zhang, Juchuan [1 ]
Xu, Wenyuan [1 ]
Chen, Yi-Chao [2 ]
机构
[1] Zhejiang Univ, Hangzhou, Zhejiang, Peoples R China
[2] Univ Texas Austin, Austin, TX 78712 USA
来源
PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19) | 2019年
关键词
Device Fingerprinting; Electromagnetic Radiation; CPU; Smart Devices; CAMERA IDENTIFICATION; PHYSICAL DEVICE; SYSTEM;
D O I
10.1145/3319535.3339810
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the widespread use of smart devices, device authentication has received much attention. One popular method for device authentication is to utilize internally-measured device fingerprints, such as device ID, software or hardware-based characteristics. In this paper, we propose DeMiCPU, a stimulation-response-based device fingerprinting technique that relies on externally-measured information, i.e., magnetic induction (MI) signals emitted from the CPU module that consists of the CPU chip and its affiliated power supply circuits. The key insight of DeMiCPU is that hardware discrepancies essentially exist among CPU modules and thus the corresponding MI signals make promising device fingerprints, which are difficult to be modified or mimicked. We design a stimulation and a discrepancy extraction scheme and evaluate them with 90 mobile devices, including 70 laptops (among which 30 are of totally identical CPU and operating system) and 20 smartphones. The results show that DeMiCPU can achieve 99.1% precision and recall on average, and 98.6% precision and recall for the 30 identical devices, with a fingerprinting time of 0.6 s. In addition, the performance can be further improved to 99.9% with multi-round fingerprinting.
引用
收藏
页码:1149 / 1162
页数:14
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