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Thermal Cameras and Machine Learning Combine to Snoop Out Passwords

Researchers at the University of Glasgow It was published A paper highlighting a so-called ThermoSecure implementation for detecting passwords and PINs. The name ThermoSecure holds a clue to the underlying methodology, as researchers use a combination of thermal imaging technology and AI to reveal passwords from input devices such as keyboards, touchpads, and even touchscreens. Offers.

Before looking at the underlying techniques and technology, it’s worth emphasizing just how good ThermoSecure is at revealing password entries. During testing, the research paper states: Moreover, these results are due to relatively “cold” evidence, the paper adds, “even higher precision.” [is achieved] If the thermal image is taken within 30 seconds. ”

(Image credit: University of Glasgow)

How does ThermoSecure work? The system requires a thermal camera, which has become a more affordable item in recent years. According to the research paper, the price of the usable device is only $150. On the AI ​​software side, the system basically uses an object detection technique based on Mask RCNN that maps (thermal) images to keys. In three phases, variables such as keyboard localization are considered, then keystrokes and multiple presses are detected, and then the algorithm determines the order in which to press the keys. Overall, it seems to work pretty well, as the results suggest.

(Image credit: University of Glasgow)

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