There is active research transpiring in the area of unknowable password development, with Elon University professor Megan Squire citing several notable projects.
Researchers at California State Polytechnic University in 2016 proposed a solution that measures a person's unique brain chemistry response while listening to their choice of soothing music. Squire notes this biometric response is incorporated into the user's login process. If a user is under stress, they cannot relax enough to match their previously measured "chill" state, and the login will not go through.
Meanwhile, Google's Project Abacus proposes replacing the traditional password with a Trust Score, a proprietary blend of identifiable characteristics determined by Google. The score includes biometric factors such as typing patterns, walking speed, voice patterns, and facial expressions.
"If the Trust Score falls below a certain threshold, say by observing a strange typing pattern or an unfamiliar location, the system will require the user to enter additional authentication credentials," Squire says.
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