Abstract: A user accessing data from a server in an authenticated session is determined to be human, an authorized bot, or a non-authorized bot based on receipt of behaviometric information from the user's interactions and responses to and with the server. The user is then denied or granted continued access to receive data, such as financial data, after it is determined if the user is authorized to do so by way of comparing the behaviometric data to known prior behaviometric data for particular humans and bots in embodiments of the disclosed technology.

Abstract: A user accessing data from a server in an authenticated session is determined to be human, an authorized bot, or a non-authorized bot based on receipt of behaviometric information from the user's interactions and responses to and with the server. The user is then denied or granted continued access to receive data, such as financial data, after it is determined if the user is authorized to do so by way of comparing the behaviometric data to known prior behaviometric data for particular humans and bots in embodiments of the disclosed technology.

Abstract: A computer-implemented method, computer device and computer system for detecting multiple users based on a biometric user profile and/or a behavioral user profile.

Abstract: Method for a secure authenticating of a user identity of a device for a service during a session including a transaction between an authentication-client and a connected authentication-server, whereby said authentication-client is running on said device using a user-agent with a specific authentication-interface to communicate encrypted authentication messages using a Transport Layer Security (TLS) protocol between said user-agent of said authentication-client and a web-server of both said authentication-server of a ‘Relying Party’ using a unique and secret authentication-identifier (e.g. a hash-value created from ‘Relying Party’, date and time) between them, and a Behaviometric-server using a unique and secret Behaviometric-identifier (e.g. a hash-value created from a Behaviometric-Server, date and time) between them, whereby said session comprising an earlier authentication stage and at least in authentication case (said user identity is positively authenticated) a later controlling stage.

Abstract: Method for a secure authenticating of a user identity of a device for a service during a session including a transaction between an authentication-client and a connected authentication-server, whereby said authentication-client is running on said device using a user-agent with a specific authentication-interface to communicate encrypted authentication messages using a Transport Layer Security (TLS) protocol between said user-agent of said authentication-client and a web-server of both said authentication-server of a ‘Relying Party’ using a unique and secret authentication-identifier (e.g. a hash-value created from ‘Relying Party’, date and time) between them, and a Behaviometric-server using a unique and secret Behaviometric-identifier (e.g. a hash-value created from a Behaviometric-Server, date and time) between them, whereby said session comprising an earlier authentication stage and at least in authentication case (said user identity is positively authenticated) a later controlling stage.

Abstract: A computer-implemented method for secure authentication of a user to a service for executing a transaction, the method being implemented in a system including a user device including a FIDO-client, a FIDO-server of a relying party providing the service, a behaviometric server and a web server associated with the relying party, the method including a preparation stage and an authentication stage. In the preparation stage a TLS-connection is established between the user device and the web-server, behavioral input data is collected from user device, and a transaction initiation message is transmitted to the behaviometric server. In the authentication stage, behaviometric data received in the transaction initiation message is compared to a second set of behaviometric data to determine whether the data matches, and if the data matches, the transaction is authenticated by the FIDO server.

Abstract: A computer-implemented method, computer program product, and system for determining whether a user exhibits machine behavior, or does not exhibit human-like behavior, thereby to authenticate the user for access to a software service.

Abstract: A method and a corresponding device for authenticating a user for access to protected information, the method comprising generating a behavioral user profile associated with a first user known to be a legitimate user of the protected information, obtaining from a second user, using a behavioral input device associated with a second computing device, a behavioral user sample, storing the behavioral user sample, associated with the second user, in a temporary user profile, comparing the behavioral user sample of the second user to the behavioral user profile, and if the behavioral user sample does not match the behavioral user profile contacting the legitimate first user and receiving from the legitimate first user information regarding the legitimacy of the second user and based on the information received from the first user, providing a response to the second user and updating the user profile.

Abstract: Securely authenticating a user of a device for a service during a session including a transaction between a client and a connected server connected to a Behaviometric-server.

Abstract: A computer-implemented method, computer device and computer system for detecting multiple users based on a biometric user profile and/or a behavioral user profile.

Abstract: 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.

Abstract: A method and a corresponding device for authenticating a user for access to protected information, including at a registration stage, generating a biometric user profile and a behavioral user profile associated with a user to be authenticated, and an authenticating stage, obtaining from the user a biometric user sample and a behavioral user sample, comparing the biometric user sample and the behavioral user sample to the biometric user profile and to the biometric behavioral profile associated with the user, and if the biometric user sample and the behavioral user sample match the biometric user profile and the biometric behavioral profile, respectively, enabling the user to access the protected information.

Abstract: A method and a corresponding device for authenticating a user for access to protected information, the method comprising generating a behavioral user profile associated with a first user known to be a legitimate user of the protected information, obtaining from a second user, using a behavioral input device associated with a second computing device, a behavioral user sample, storing the behavioral user sample, associated with the second user, in a temporary user profile, comparing the behavioral user sample of the second user to the behavioral user profile, and if the behavioral user sample does not match the behavioral user profile contacting the legitimate first user and receiving from the legitimate first user information regarding the legitimacy of the second user and based on the information received from the first user, providing a response to the second user and updating the user profile.

Abstract: 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.

Abstract: A computer-implemented method, computer program product, and system for determining whether a user exhibits machine behavior, or does not exhibit human-like behavior, thereby to authenticate the user for access to a software service.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and a corresponding device for authenticating a user for access to protected information, including at a registration stage, generating a biometric user profile and a behavioral user profile associated with a user to be authenticated, and an authenticating stage, obtaining from the user a biometric user sample and a behavioral user sample, comparing the biometric user sample and the behavioral user sample to the biometric user profile and to the biometric behavioral profile associated with the user, and if the biometric user sample and the behavioral user sample match the biometric user profile and the biometric behavioral profile, respectively, enabling the user to access the protected information.

Abstract: A method and a corresponding device for authenticating a user for access to protected information, the method comprising generating a behavioral user profile associated with a first user known to be a legitimate user of the protected information, obtaining from a second user, using a behavioral input device associated with a second computing device, a behavioral user sample, storing the behavioral user sample, associated with the second user, in a temporary user profile, comparing the behavioral user sample of the second user to the behavioral user profile, and if the behavioral user sample does not match the behavioral user profile contacting the legitimate first user and receiving from the legitimate first user information regarding the legitimacy of the second user and based on the information received from the first user, providing a response to the second user and updating the user profile.