Abstract: Methods and systems for authenticating a user device employ a database of global network latencies categorized and searchable by location and calendar date-time of day usage, providing network latency by geography and by time. The database is constructed using voluminous daily data collected from a world-wide clientele of users who sign in to a particular website. Accuracy of the latency data and clock skew machine identification is made practical and useful for authentications using a service provider-proprietary, stable reference clock, such as an atomic clock, so that internal clock jitter of a service provider performing authentications does not affect the network latency time and clock skew identification of user devices. Increased authentication confidence results from using the database for correcting network latency times and user device signatures generated from the clock skew identifications and for cross checking the authentication using comparisons of initial registration to current sign in data.

Abstract: Methods and systems for authenticating a user device employ a database of global network latencies categorized and searchable by location and calendar date-time of day usage, providing network latency by geography and by time. The database is constructed using voluminous daily data collected from a world-wide clientele of users who sign in to a particular website. Accuracy of the latency data and clock skew machine identification is made practical and useful for authentications using a service provider-proprietary, stable reference clock, such as an atomic clock, so that internal clock jitter of a service provider performing authentications does not affect the network latency time and clock skew identification of user devices. Increased authentication confidence results from using the database for correcting network latency times and user device signatures generated from the clock skew identifications and for cross checking the authentication using comparisons of initial registration to current sign in data.

Abstract: A system, according to one embodiment, includes a master key for encryption of data; an encryption key site accessible by computer and storing a first piece of the master key; a configuration file resident in a computer file system, the configuration file storing a second piece of the master key; a computer database storing a third piece of the master key; a master-key seal key used to encrypt the master key, wherein a secure self managed data (SSMD) key is obtained by assembling and decrypting the first piece, the second piece and the third piece using the master-key seal key; a unique ID for the data; a classification level for the data; and an expiration time for the data, wherein the data, the unique ID, the classification level, and the expiration time are encrypted together using the SSMD key to form an SSMD encoded data.

Abstract: In accordance with embodiments of the present disclosure, systems and methods for facilitating network transactions include user authentication over a network by providing strong mutual authentication of client web application to server side application server, providing session encryption key negotiation after authentication to continue encryption during communication, and providing a high-level encryption technique referred to as an effective zero knowledge proof of identity (eZKPI) algorithm. In various implementations, the eZKPI algorithm is adapted to couple something the user Knows (e.g., a password or personal identification number) with something the user Has (e.g., a secure identification card) to create a stronger identity authentication proof for access to a mobile device and applications running on the mobile device.

Abstract: In accordance with embodiments of the present disclosure, systems and methods for facilitating network transactions including user identity verification over a network provide strong mutual authentication of client web application to server side application server, provide session encryption key negotiation after authentication to continue encryption during communication, and provide a high-level encryption technique referred to as an effective zero knowledge proof of identity (eZKPI) algorithm. In various implementations, the eZKPI algorithm is adapted to couple something the user Knows (e.g., a password) with something the user Has (e.g., a biometric signature) to create a stronger identity authentication proof for access to a mobile device and applications running on that device.

Abstract: Methods and systems for authenticating a user device employ a database of global network latencies categorized and searchable by location and calendar date-time of day usage, providing network latency by geography and by time. The database is constructed using voluminous daily data collected from a world-wide clientele of users who sign in to a particular website. Accuracy of the latency data and clock skew machine identification is made practical and useful for authentications using a service provider-proprietary, stable reference clock, such as an atomic clock, so that internal clock jitter of a service provider performing authentications does not affect the network latency time and clock skew identification of user devices. Increased authentication confidence results from using the database for correcting network latency times and user device signatures generated from the clock skew identifications and for cross checking the authentication using comparisons of initial registration to current sign in data.

Abstract: In accordance with embodiments of the present disclosure, systems and methods for facilitating network transactions including user identity verification over a network provide strong mutual authentication of client web application to server side application server, provide session encryption key negotiation after authentication to continue encryption during communication, and provide a high-level encryption technique referred to as an effective zero knowledge proof of identity (eZKPI) algorithm. In various implementations, the eZKPI algorithm is adapted to couple something the user Knows (e.g., a password) with something the user Has (e.g., a biometric signature) to create a stronger identity authentication proof for access to a mobile device and applications running on that device.

Abstract: In accordance with embodiments of the present disclosure, systems and methods for facilitating network transactions include user authentication over a network by providing strong mutual authentication of client web application to server side application server, providing session encryption key negotiation after authentication to continue encryption during communication, and providing a high-level encryption technique referred to as an effective zero knowledge proof of identity (eZKPI) algorithm. In various implementations, the eZKPI algorithm is adapted to couple something the user Knows (e.g., a password or personal identification number) with something the user Has (e.g., a secure identification card) to create a stronger identity authentication proof for access to a mobile device and applications running on the mobile device.

Abstract: A system, according to one embodiment, includes a master key for encryption of data; an encryption key site accessible by computer and storing a first piece of the master key; a configuration file resident in a computer file system, the configuration file storing a second piece of the master key; a computer database storing a third piece of the master key; a master-key seal key used to encrypt the master key, wherein a secure self managed data (SSMD) key is obtained by assembling and decrypting the first piece, the second piece and the third piece using the master-key seal key; a unique ID for the data; a classification level for the data; and an expiration time for the data, wherein the data, the unique ID, the classification level, and the expiration time are encrypted together using the SSMD key to form an SSMD encoded data.