Asserting user identity using geo-location and machine learning
In the connected economy, effective solutions to the problem of user authentication are increasingly valuable. With 5 billion unique mobile subscribers registered globally in 2017, smartphones are forecast to account for two thirds of new global connections by the end of the decade.
Given the widespread use of mobile devices, and the widespread use and availability of GPS, WiFi, Bluetooth, and other device-reading sensor technologies, location can play a key role in verifying that someone is who they say they are.
Our latest whitepaper looks at the possible approaches to location-assisted authentication and introduces our machine learning-based solution for behavior-driven authentication.
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