My Smartphone Knows What You Print: Exploring Smartphone-based Side-channel Attacks Against 3D Printers
Chen Song, Feng Lin, Zhongjie Ba, Kui Ren, Chi Zhou, Wenyao Xu
摘要
Additive manufacturing, also known as 3D printing, has been increasingly applied to fabricate highly intellectual property (IP) sensitive products. However, the related IP protection issues in 3D printers are still largely underexplored. On the other hand, smartphones are equipped with rich onboard sensors and have been applied to pervasive mobile surveillance in many applications. These facts raise one critical question: is it possible that smartphones access the sidechannel signals of 3D printer and then hack the IP information? To answer this, we perform an end-to-end study on exploring smartphone-based side-channel attacks against 3D printers. Specifically, we formulate the problem of the IP side-channel attack in 3D printing. Then, we investigate the possible acoustic and magnetic side-channel attacks using the smartphone built-in sensors. Moreover, we explore a magnetic-enhanced side-channel attack model to accurately deduce the vital directional operations of 3D printer. Experimental results show that by exploiting the side-channel signals collected by smartphones, we can successfully reconstruct the physical prints and their G-code with Mean Tendency Error of 5.87% on regular designs and 9.67% on complex designs, respectively. Our study demonstrates this new and practical smartphone-based side channel attack on compromising IP information during 3D printing.
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- See No Evil, Hear No Evil, Feel No Evil, Print No Evil? Malicious Fill Patterns Detection in Additive ManufacturingChristian Bayens, Tuan Le, Luis Garcia, Raheem A. Beyah 等USENIX Security 2017 · 被引用 53 次
- PrinTracker: Fingerprinting 3D Printers using Commodity ScannersZhengxiong Li, Aditya Singh Rathore, Chen Song, Sheng Wei 等CCS 2018 · 被引用 48 次
- Blue Note: How Intentional Acoustic Interference Damages Availability and Integrity in Hard Disk Drives and Operating SystemsConnor Bolton, Sara Rampazzi, Chaohao Li, Andrew Kwong 等S&P 2018 · 被引用 41 次
- SoK: Exploiting Network PrintersJens Müller, Vladislav Mladenov, Juraj Somorovsky, Jörg SchwenkS&P 2017 · 被引用 31 次
- Acoustics to the Rescue: Physical Key Inference Attack RevisitedSoundarya Ramesh, Rui Xiao, Anindya Maiti, Jong Taek Lee 等USENIX Security 2021 · 被引用 10 次
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