Secure estimation for unmanned aerial vehicles against adversarial cyber attacks

Qie Hu, Young Hwan Chang, Claire J. Tomlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In the coming years, usage of Unmanned Aerial Vehicles (UAVs) is expected to grow tremendously. Maintaining security of UAVs under cyber attacks is an important yet challenging task, as these attacks are often erratic and difficult to predict. Secure estimation problems study how to estimate the states of a dynamical system from a set of noisy and maliciously corrupted sensor measurements. The fewer assumptions that an estimator makes about the attacker, the larger the set of attacks it can protect the system against. In this paper, we focus on sensor attacks on UAVs and attempt to design a secure estimator for linear time-invariant systems based on as few assumptions about the attackers as possible. We propose a computationally efficient estimator that protects the system against arbitrary and unbounded attacks, where the set of attacked sensors can also change over time. In addition, we propose to combine our secure estimator with a Kalman Filter for improved practical performance and demonstrate its effectiveness through simulations of two scenarios where an UAV is under adversarial cyber attack.

Original languageEnglish (US)
Title of host publication30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016
PublisherInternational Council of the Aeronautical Sciences
ISBN (Electronic)9783932182853
StatePublished - 2016
Event30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016 - Daejeon, Korea, Republic of
Duration: Sep 25 2016Sep 30 2016

Other

Other30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016
CountryKorea, Republic of
CityDaejeon
Period9/25/169/30/16

Keywords

  • Cyber attacks
  • Error correction
  • Secure estimation
  • UAV

ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Materials Science(all)

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  • Cite this

    Hu, Q., Chang, Y. H., & Tomlin, C. J. (2016). Secure estimation for unmanned aerial vehicles against adversarial cyber attacks. In 30th Congress of the International Council of the Aeronautical Sciences, ICAS 2016 International Council of the Aeronautical Sciences.