Unmanned Aerial System security using real-time autopilot software analysis

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ID: 272954
2016
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Abstract
Given the proliferation of Unmanned Aerial Systems (UASs) for military and commercial purposes, there is a fast-approaching need for comprehensive and robust systems which secure the UAS for public safety and assurance of military goals. This paper puts forth a comprehensive system of protecting UASs against hardware and software attacks, at the lowest and highest semantic levels. This approach monitors the autopilot directly, as well as the lowest level of the operating system on-board the UAS to establish whether or not malicious software has altered the function of the aircraft. Coupled with the other recent work by the authors, this completes a system that also monitors the lowest semantic level of events on the UAS through ob-board sensors, allowing for the detection of hardware failures as well as malicious attacks. After testing a quadcopter testbed with this anomaly detection system against software attacks, it can be seen that the system is successful in the detection of changes to the control flow of the autopilot, as well as the detection of any malicious events on the UAS's computer.
Reference Key
skormin20162016unmanned Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Christina Stracquodaine,Andrey Dolgikh,Matthew Davis,Victor Skormin;Christina Stracquodaine;Andrey Dolgikh;Matthew Davis;Victor Skormin;
Journal 2016 International Conference on Unmanned Aircraft Systems (ICUAS)
Year 2016
DOI
10.1109/icuas.2016.7502633
URL
https://sciprofiles.com/publication/view/f53c9dcfedb339b1d758e7ceefc35932
Keywords
safety monitoring software security sensors aircraft hardware

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