About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Security and Privacy in Cyber-Physical Systems and Smart Vehicles. First EAI International Conference, SmartSP 2023, Chicago, USA, October 12-13, 2023, Proceedings

Research Article

ADC-Bank: Detecting Acoustic Out-of-Band Signal Injection on Inertial Sensors

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-51630-6_4,
        author={Jianyi Zhang and Yuchen Wang and Yazhou Tu and Sara Rampazzi and Zhiqiang Lin and Insup Lee and Xiali Hei},
        title={ADC-Bank: Detecting Acoustic Out-of-Band Signal Injection on Inertial Sensors},
        proceedings={Security and Privacy in Cyber-Physical Systems and Smart Vehicles. First EAI International Conference, SmartSP 2023, Chicago, USA, October 12-13, 2023, Proceedings},
        proceedings_a={SMARTSP},
        year={2024},
        month={2},
        keywords={Spoof attack Out-of-band acoustic signal injection Inertial sensor Multiple ADCs Detection and correction},
        doi={10.1007/978-3-031-51630-6_4}
    }
    
  • Jianyi Zhang
    Yuchen Wang
    Yazhou Tu
    Sara Rampazzi
    Zhiqiang Lin
    Insup Lee
    Xiali Hei
    Year: 2024
    ADC-Bank: Detecting Acoustic Out-of-Band Signal Injection on Inertial Sensors
    SMARTSP
    Springer
    DOI: 10.1007/978-3-031-51630-6_4
Jianyi Zhang1,*, Yuchen Wang2, Yazhou Tu3, Sara Rampazzi4, Zhiqiang Lin5, Insup Lee6, Xiali Hei3
  • 1: Beijing Electronic Science and Technology Institute, Beijing
  • 2: Academy of Information and Communications Technology, Beijing
  • 3: University of Louisiana at Lafayette, Lafayette
  • 4: University of Florida, Gainesville
  • 5: Ohio State University, Columbus
  • 6: University of Pennsylvania, Philadelphia
*Contact email: zjy@besti.edu.cn

Abstract

Inertial sensors are widely used in navigation, motion tracking, and gesture recognition systems. However, these sensors are vulnerable to spoofing attacks, where an attacker injects a carefully designed acoustic signal to trick the sensor readings. Traditional approaches to detecting and mitigating attacks rely on module redundancy, i.e., adding multiple sensor modules to increase robustness. However, this approach is not always feasible due to the limited space and increased complexity of current printed circuit boards.

This paper proposes a new method, ADC-Bank, to detect inertial sensor spoofing attacks via acoustic out-of-band signals. Unlike other multiple-sensor-based solutions, it is based on component redundancy within one sensor, using multiple analog-to-digital converters (ADCs) with different sampling rates to simultaneously sample the output of the sensors. The different sample rates result in different aliasing frequencies for out-of-band signals that can be used to detect attacks. The proposed method is evaluated on off-the-shelf inertial sensors with commercial ADCs, demonstrating its ability to detect the attacking signals with relatively low cost and computation overhead.

Keywords
Spoof attack Out-of-band acoustic signal injection Inertial sensor Multiple ADCs Detection and correction
Published
2024-02-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-51630-6_4
Copyright © 2023–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL