Abstract: A computer-implemented method to identify unauthorized use of a device based on a usage pattern. The method includes tracking usage of a device, wherein the usage includes activity by a user interacting with the device. The method includes identifying a usage pattern, wherein the usage pattern is based on usage data. The method further includes generating, based on the usage pattern, a heatmap. The method includes predicting future usage of the device by the user, wherein the predicting includes generating a Markov chain of the predicted future usage. The method also includes determining actual usage is different than the predicted usage. The method further includes calculating, in response to determining the actual usage is different than the predicted future usage, a difference score. The method includes determining the difference score is above a difference threshold, and activating, in response to the difference score being above the difference threshold, an alert.

Abstract: Authenticating a message by receiving a first message from a source, generating a touch activation matrix from the first message, the touch activation matrix comprising touchscreen data associated with the first message, generating a second message from the touch activation matrix, determining a first legitimacy state by comparing the first message and the second message, determining a second legitimacy state using a discriminator network, determining a categorization for the first message according to the first and second legitimacy states, and sending the categorization for the first message to the source.

Abstract: Authenticating a message by receiving a first message from a source, generating a touch activation matrix from the first message, the touch activation matrix comprising touchscreen data associated with the first message, generating a second message from the touch activation matrix, determining a first legitimacy state by comparing the first message and the second message, determining a second legitimacy state using a discriminator network, determining a categorization for the first message according to the first and second legitimacy states, and sending the categorization for the first message to the source.

Abstract: A computer-implemented method to identify unauthorized use of a device based on a usage pattern. The method includes tracking usage of a device, wherein the usage includes activity by a user interacting with the device. The method includes identifying a usage pattern, wherein the usage pattern is based on usage data. The method further includes generating, based on the usage pattern, a heatmap. The method includes predicting future usage of the device by the user, wherein the predicting includes generating a Markov chain of the predicted future usage. The method also includes determining actual usage is different than the predicted usage. The method further includes calculating, in response to determining the actual usage is different than the predicted future usage, a difference score. The method includes determining the difference score is above a difference threshold, and activating, in response to the difference score being above the difference threshold, an alert.