Behaviometrics Ab

Other

Johan Lindholm

Ingo Deutschmann

Tony Libell

Neil Costigan

Peder Nordström

Peter Parnes

Recording, analyzing and categorizing of user interface input via touchpad, touch screens or any device that can synthesize gestures from touch and pressure into input events. Such as, but not limited to, smart phones, touch pads and tablets. Humans may generate the input. The analysis of data may include statistical profiling of individual users as well as groups of users, the profiles can be stored in, but not limited to data containers such as files, secure storage, smart cards, databases, off device, in the cloud etc. A profile may be built from user/users behavior categorized into quantified types of behavior and/or gestures. The profile might be stored anonymized. The analysis may take place in real time or as post processing. Profiles can be compared against each other by all the types of quantified behaviors or by a select few.

System and method for distinguishing human swipe input sequence behavior

Embodiments of the disclosed technology are directed to methods and/or systems for using behavioral authentication for authenticating particular users of particular mobile devices. The methods and/or systems may employ a behavior monitor, a secure element, a behaviometric server and/or cryptographic servers to authenticate users. The behavior monitor may gather, interpret, decrypt and/or encrypt behavior information using a secure element and a behaviometric server. The behaviometric server may be used to compare recorded behavior data and compare them to stored profiles of users in order to generate authentication information based on the comparison.

Behavioral authentication system using a secure element, a behaviometric server and cryptographic servers to authenticate users

System and method for distinguishing human swipe input sequence behavior and using a confidence value on a score to detect fraudsters

An apparatus with a method, and or application, and or service to collect more fine rained or extra event data, that may not be accessible directly by the underlying architecture. This is been done by adding a virtual overlay over selected portion of the screen and detecting events inside or outside of his own context.

Method, application and/or service to collect more fine-grained or extra event data from a user sensor device

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Boden, Sweden

Johan Lindholm