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Why Detecting Drones Is a Tough Gig
An anonymous reader writes with a link to some interesting commentary at Help Net Security from Drone Lab CEO Zain Naboulsi about a security issue of a (so far) unusual kind: detecting drones whose masters are bent on malice. That's relevant after the recent drone flight close enough to the White House to spook the Secret Service, and that wasn't the first -- even if no malice was involved. Drones at their most dangerous in that context are small, quiet, and flying through busy, populated spaces, which makes even detecting them tough, never mind defeating them. From the article, which briefly describes pros and cons of various detection methods: Audio detection does NOT work in urban environments - period. Most microphones only listen well at 25 to 50 feet so, because of the ambient noise in the area, any audio detection method would be rendered useless at 1600 Pennsylvania Avenue. It is also too simple for an operator to change the sound signature of a drone by buying different propellers or making other modifications. It doesn't take much to defeat the many weaknesses of audio detection.
What about an autonomous drone which is just flying to certain GPS coordinates and then detonating? Or even just using inertial guidance and image processing?
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