Abstract: Systems and methods for performing behavioral authentication of Universal Serial Bus (USB) devices are described. These methods may capture one or more behavioral characteristics of a specific USB device and may generate a device fingerprint based on the captured characteristics. When the USB device is plugged in again in the host device, the behavioral characteristics of the USB device may be re-captured and may be compared to those of the device fingerprint. If it is determined that such behavioral characteristics substantially match, authorization may be granted. In one example, timing characteristics may be used as behavioral characteristics, in which the timing of a series of transactions is sensed by the host device. A timing characteristic may include, for example, the time it takes the USB device to complete a transaction. The transactions are part of an enumeration process in some embodiments.

Abstract: Methods and systems for providing gesture-based security are disclosed. For example, a method for establishing secure communications can include receiving one or more human gestures using a sensor on a first device, quantizing the one or more human gestures so as to create a metric of the one or more human gestures, performing an error correction operation on the metric using error correction information derived from a template of the metric to create a corrected metric, performing a hashing operation on the corrected metric to create a metric hash, and comparing the metric hash to a hash of the template to verify that the one or more human gestures sufficiently conform to the template.

Abstract: Methods and systems for providing gesture-based security are disclosed. For example, a method for establishing secure communications can include receiving one or more human gestures using a sensor on a first device, quantizing the one or more human gestures so as to create a metric of the one or more human gestures, performing an error correction operation on the metric using error correction information derived from a template of the metric to create a corrected metric, performing a hashing operation on the corrected metric to create a metric hash, and comparing the metric hash to a hash of the template to verify that the one or more human gestures sufficiently conform to the template.