Comparing users handwriting for detecting and remediating unauthorized shared access
“A method of using handwriting input on a touch screen device to verify the identity of a user. The user writes a profile word in an input space provided on the touch screen. Features of the handwriting are captured and sent to a server, which stores the data in a data record associated with the authorized user. When a user subsequently writes a challenge word, the handwriting features of the challenge word are compared to the authorized user’s handwriting data record and given a rating of similarity. If the rating is within a prescribed range, the user’s identity is verified as being the authorized user and permitted to access a given asset. If not, the user’s identity is not verified and that user may be denied access to the asset or other action taken. This biometric feature of authentication may be used alone or in a multi-factor authentication environment.”
This sounds super cool. Congrats Matt and team!
Thanks Greg!
Our industry has some unique challenges when it comes to authentication – use cases that typical authentication methods did not address. Inventing a new form of behavioral biometrics to add to the existing solution – a new method that leverages the increasing ubiquity of touchscreens as part of a larger solution that works across all platforms – will provide additional benefit to Clareity Security strong authentication customers.