"A Defense Against Attacks on Unmanned Ground and Aerial Vehicles"
A University of Texas at Arlington (UTA) engineering researcher is developing defenses to prevent cyberattacks targeting networks of self-driving cars and Unmanned Aerial Vehicles (UAVs). Animesh Chakravarthy, associate professor in the Department of Mechanical and Aerospace Engineering (MAE), is the Principal Investigator (PI) on a US Department of Defense (DOD) grant titled "Resilient Multi-Vehicle Networks." If hackers discover a way to compromise 10 out of 100 self-driving cars in a given area, they could affect all 100 cars because the 10 compromised vehicles would have a domino effect on the other vehicles, Chakravarthy explained. Therefore, it is necessary to make these vehicle networks resistant to such attacks. This article continues to discuss the UTA research team investigating ways to thwart cyberattacks on networks of self-driving cars and UAVs.