Researchers from Binghamton University and the Stevens Insititute of Technology have developed an algorithm , the Backward random - sequence Inference algorithm , that can collect motion data from databases and guess PINs and passwords with an 80 % accuracy rate on the first try . One way to counter an attack , the researchers suggest , is for researchers to analyze motion data that might disrupt motion - data collection .
Researchers from Binghamton University and the Stevens Insititute of Technology have developed an algorithm, the Backward PIN-sequence Inference Algorithm, that can collect motion data from wearables and guess PINs and passwords with an 80% accuracy rate on the first try. One way to counter an attack, the researchers suggest, is for developers to insert noise data that would disrupt motion-data collection.