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Drone Use in Populated Areas, Without New Safeguards, Poses Significant Cyber and Privacy Challenges

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Drone Use in Populated Areas, Without New Safeguards, Poses Significant Cyber and Privacy Challenges

Growing drone use in populated areas poses significant risks that, without additional safeguards, could result in attacks by malicious entities and exploited for use in cyberattacks, terrorism, crime and invasion of privacy, according to a new research report by Ben-Gurion University of the Negev (BGU) and Fujitsu System Integration Laboratories Ltd. researchers. Click here for the study

The first comprehensive study on “Security and Privacy Challenges in the Age of Drones” evaluates 200 academic and industry techniques designed to detect and disable drones flying in both unrestricted and restricted areas. Its findings coincide with the U.S. government proposal to allow civilian drone flights with new security rules that permit deliveries and other commercial uses in populated areas.

To highlight the threat, the researchers demonstrate a new physical method to disable drone’s active tracking functionality, a new technology that was recently introduced by drone manufacturers that is based on computer vision algorithms.

“The cutting-edge technology and decreasing drone prices made them accessible to individuals and organizations, but has created new threats and recently caused an increase in drone-related incidents,” says Ben Nassi, a Ph.D. student in BGU’s Department of Software and Information Systems Engineering (SISE) and a researcher at the BGU Cyber Security Research Center. “There are many difficulties that militaries, police departments, and governments are seeking to overcome, as it is a recognized threat to critical infrastructure, operations, and individuals.”

The researchers examined different ways to detect drones in drone-restricted areas including radar, RF Scanners, thermal cameras, sound and hybrids of these methods. However, they believe the biggest challenge is determining the drone’s purpose in non-restricted areas.

Spying classification problem - legitimate and illegitimate use of a drone from the same location: (a) a drone boxed in yellow, two people boxed in green, and the window of an organization boxed in red, (b) illegitimate use of the drone camera to film the organization, (c) legitimate use of the drone for selfie purposes. Identification problem - when all drones look identical (d), it is difficult to match virtual IDs to physical drones in the camera view.

Spying classification problem – legitimate and illegitimate use of a drone from the same location: (a) a drone boxed in yellow, two people boxed in
green, and the window of an organization boxed in red, (b) illegitimate use of the drone camera to film the organization, (c) legitimate use of the drone for
selfie purposes. Identification problem – when all drones look identical (d), it is difficult to match virtual IDs to physical drones in the camera view.

“An open-skies policy that allow drones to fly over populated areas pose a significant challenge in terms of security and privacy within society” says Prof. Yuval Elovici, Ben Nassi’s Ph.D. advisor, who is director of the Deutsche Telekom Innovation [email protected]; director of the BGU Cyber Security Research Center, SISE faculty member and the Davide and Irene Sala Chair in Homeland Security Research.

Attackers can also disguise a cyber-attack as legitimate drone pizza delivery by hiding the hardware they use inside the pizza box.

“In an unrestricted area, we believe that there is a major scientific gap and definite risks that can be exploited by terrorists to launch a cyber-attack,” Nassi says. “It is inevitable that drones will become more widespread, but we need to recognize that open-skies policy pose multiple risks and that current solutions are unable to solve as a result of a major scientific gap in this area.”

The researchers propose methods that enable flying drone identification as well as registration, which is now a U.S. regulation. This includes dedicated techniques for authenticating drones and their operators. While in their previous study, the researchers demonstrated a new technique to detect a spying drone, new methods to determine the purpose of a nearby drone must be developed.

The research team also included Dr. Asaf Shabtai from BGU SISE, as well as Dr. Ryusuke Masuoka and Kohki Ohhira from Fujitsu System Integration Laboratories Ltd.

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Cite this article as: Press Release, "Drone Use in Populated Areas, Without New Safeguards, Poses Significant Cyber and Privacy Challenges," in DroneBelow.com, March 28, 2019, https://dronebelow.com/2019/03/28/drone-use-in-populated-areas-without-new-safeguards-poses-significant-cyber-and-privacy-challenges/.
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