3D printer audio and vibration side channel dataset for vulnerability research in additive manufacturing security
Date
2024-10-19
Journal Title
Journal ISSN
Volume Title
Publisher
Data in Brief
Abstract
This dataset provides a comprehensive set of side channels from fused deposition modeling 3D printers in order to enable the research in the security of additive manufacturing processes against side channel attacks. These attacks exploit indirect signal emanations from physical processes to extract information about a system. Our data was collected using two different methods (iPhone app and Teensy 4.0 sensor system) on two different 3D printers (Bambu Lab P1P and A1 mini), and consists of two types of data, audio data in the form of the recording of the 3D printer's sound while printing, and vibration data in the form of the linear acceleration in the cartesian coordinates. The dataset includes data from 12 different 3D objects that cover a wide variety of movements made while 3D printing. Along with the side channels this dataset includes the source computer-aided design files of the objects, as well as .gcode and .3mf files used by the printers.
Description
This article was originally published in Data in Brief. The version of record is available at: https://doi.org/10.1016/j.dib.2024.111002.
© 2024 The Author(s). Published by Elsevier Inc.
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords
side channels, side channel attacks, additive manufacturing, 3D printing, cyber physical systems, cybersecurity
Citation
Madamopoulos, Christos, and Nektarios Georgios Tsoutsos. “3D Printer Audio and Vibration Side Channel Dataset for Vulnerability Research in Additive Manufacturing Security.” Data in Brief 57 (December 2024): 111002. https://doi.org/10.1016/j.dib.2024.111002.