Publication Details

Ashutosh Singandhupe, Hung La, and David Feil-Seifer. "Reliable Security Algorithm for Drones Using Individual Characteristics From an EEG Signal." In IEEE Access, 6(1):22976-22986, Apr 2018. doi: 10.1109/ACCESS.2018.2827362 ( pdf )

  • Keywords:
  • SARG
  • HRI
  • UAV
  • performance metrics
  • path-planning
  • EEG


Unmanned aerial vehicles (UAVs) have been applied for both civilian and military applications; scientific research involving UAVs has encompassed a wide range of scientific study. However, communication with unmanned vehicles are subject to attack and compromise. Such attacks have been reported as early as 2009, when a Predator UAV's video stream was compromised. Since UAVs extensively utilize autonomous behavior, it is important to develop an autopilot system that is robust to potential cyber-attack. In this work, we present a biometric system to encrypt communication between a UAV and a computerized base station. This is accomplished by generating a key derived from a user's EEG Beta component. When communication with a UAV is attacked, a safety mechanism directs the UAV to a safe `home' location. This system has been validated on a commercial UAV under malicious attack conditions.

Author Details

Name: Ashutosh Singandhupe
Status: Active

Name: Hung La
Status: Active

Name: David Feil-Seifer
Phone: (775) 784-6469
Status: Active

BibTex Reference

  title={Reliable Security Algorithm for Drones Using Individual Characteristics From an EEG Signal},
  author={Ashutosh Singandhupe and Hung La and David Feil-Seifer},
  journal={IEEE Access},

HTML Reference

<span class="authors">Ashutosh Singandhupe, Hung La, and David Feil-Seifer</span>. <span class="title">"Reliable Security Algorithm for Drones Using Individual Characteristics From an EEG Signal." </span> <span class="status">In</span> <span class="booktitle">IEEE Access, </span><span class="volume">6</span><span class="number">(1)</span>:<span class="pg">22976-22986</span>, <span class="month">Apr</span> <span class="year">2018</span>. <span class="ending"></span> <span class="doi">doi: 10.1109/ACCESS.2018.2827362</span>


Collaborative Control of Multiple UAVs for Wildfire Tracking and Monitoring, Nevada NASA Space Grant Consortium (NVSGC) PI: Hung La, co-PI: David Feil-Seifer, Amount: $30,000, July 1, 2017 - April 9, 2018

CHS: Small: Collaborative Research: Spatio-Temporal Situational Awareness in Large-Scale Disasters Using Low-Cost Unmanned Aerial Vehicles, National Science Foundation PI: David Feil-Seifer, Amount: $166,666, Jan. 1, 2016 - Dec. 31, 2017

UGV-UAV Hybrid System for Unstructured Environment Exploration, NASA PI: Hung La, co-PI: David Feil-Seifer, Paul Oh, Amount: 83,523, Sept. 1, 2016 - Aug. 31, 2017