Researchers at Ben Gurion University, Israel have developed a technique that can identify the location of a drone operator with almost 73% accuracy.
Unmanned Aerial Systems (UAS) commonly known as Drones posit a significant security threat enforcing organizations to guard their airspace. In the next few years, their superior features, such as agility, dexterity and widespread availability will market drones as ‘ubiquitous business tools’ risking exposure and compromising security barriers.
Research [PDF] conducted by Ben Gurion University of the Negev, Israel: ‘Can the operator of a drone be located by following the drone’s path’ profusely explain a growing need to adapt localization and detection methods to assuage malicious attacks and operations via drones.
The researchers extensively discuss the use of deep neural networks to localize drone operators using a realistic simulation environment that can help collect imperative data with 73% accuracy.
There are more than 1 million drone operators residing in the US alone and the global market for UAS will be worth $21.8 billion by 2027. This showcases how copiously varied institutions deploy drones not only for security purposes but for leisure too. However, this has led to an increase in malicious activities ensuing drones controlled by cybercriminals and perpetrators.
Illicit incidents revolving around drones
The Heathrow Airport incident is an insinuation of the fact, how vicariously drones were deployed for illicit activities. In April 2016, A British Airways flight fro ..
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