Researchers Seek Ways to Prevent Hacked Driverless Car Incidents in Major Cities

The researchers used percolation theory, a mathematical approach based on statistical analysis of networks, to predict how cyber-hacks on driverless vehicles would impede New York City traffic. It turns out that hacked vehicles would compartmentalize certain portions of roads in a given area. To be specific, the team found that when 10-20 percent of vehicles were hacked during rush hour, half of the Big Apple became inaccessible.