Purdue University Graduate School
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AN ARTIFICIAL INTELLIGENCE APPROACH FOR RELIABLE AUTONOMOUS NAVIGATION IN GPS-DENIED ENVIRONMENTS WITH APPLICATIONS TO UNMMANED AERIAL VEHICLES

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posted on 2024-05-03, 21:01 authored by Mustafa MOHAMMAD S Alkhatib SrMustafa MOHAMMAD S Alkhatib Sr

This Research focuses on developing artificial intelligence tools to detect and mitigate cyber-attacks targeting unmanned aerial vehicles.

Funding

Collaborative Research: SaTC: CORE: Small: UAV-NetSAFE.COM: UAV Network Security Assessment and Fidelity Enhancement through Cyber-Attack-Ready Optimized Machine-Learning Platforms

Directorate for Computer & Information Science & Engineering

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History

Degree Type

  • Master of Science

Department

  • Electrical and Computer Engineering

Campus location

  • Hammond

Advisor/Supervisor/Committee Chair

Dr. Khair Al Shamaileh

Additional Committee Member 2

Dr. Lizhe Tan

Additional Committee Member 3

Dr. Quamar Niyaz

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    Categories

    Keywords

    Machine learningArtificial IntelliegenceUnmanned arial VehicleLong short-term memory (LTSM)Return-to-homeSoftware Defined Radio (SDR)Global positioning system(GPS)Jamming Mitigation

    Licence

    CC BY 4.0

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