Un-Rocking Drones: Foundations of Acoustic Injection Attacks and Recovery Thereof

Jinseob Jeong,Dongkwan Kim,Joonha Jang,Juhwan Noh,Changhun Song,Yongdae Kim

Published 2023 in Network and Distributed System Security Symposium

ABSTRACT

—Drones equipped with microelectromechanical sys-tem (MEMS) inertial measurement unit (IMU) sensors are exposed to acoustic injection attacks. These attacks resonate sensors, compromising their output and causing drones to crash. Several mitigation strategies have been proposed; however, they are limited in terms of practicality as they cannot make the drone fly t o its planned destination in the event of an attack. To remedy this, we aim at recovering the compromised sensor values for the practical mitigation of acoustic injection attacks. To achieve this, we first c onstructed a r ealistic testbed and delved into the implications of resonant MEMS sensors on drones. We discovered that sampling jitter, which refers to the inconsistent timing delay in retrieving sensor values, has a significant i m pact o n d r one c r ashes d u ring t h e a t tack. Note that while any real-time system needs to satisfy its real-time

PUBLICATION RECORD

  • Publication year

    2023

  • Venue

    Network and Distributed System Security Symposium

  • Publication date

    Unknown publication date

  • Fields of study

    Computer Science, Engineering

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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