Abstract: Embodiments of the present systems and methods may provide techniques for encryption of location information, while preserving a format and semantics of the information. For example, in an embodiment, a computer-implemented method for encrypting data may comprise receiving location data and generating encrypted data from the received location data, wherein the encrypted data preserves the format and semantics of the received location data.

Abstract: A computer implemented method of authenticating a user based on comparison of biometric data authentication process parameters measured during a biometric authentication process against a biometric signature authentication process model of the user, comprising receiving sensory data captured by one or more sensors operated to capture biometric data of a user during a biometric authentication process conducted to verify a biometric signature of the user, calculating a deviation of values of a plurality of authentication process parameters measured during analysis of the sensory data from the values of corresponding reference authentication process parameters retrieved from a biometric signature authentication process model of the user and authenticating the user based on verification of the biometric signature and according to the deviation.

Abstract: Embodiments of the present invention may detect, identify, and notify of email phishing attacks. For example, a method may comprise constructing at least one behavioral model for an organization based on features extracted from a plurality of email messages and based on information relating to the organization, including analyzing behavioral patterns of emails in the organization, analyzing a plurality of new email messages using the behavioral model to determine non-binary scores representing analysis of features of the messages, including behavioral patterns of the new emails in the organization with regard to the features, determining whether any of the plurality of new email messages are malicious email messages based on the non-binary scores for the new email messages indicating that the new email messages deviate from the behavioral patterns of emails in the organization included in the behavioral model, and transmitting a notification that a message is a malicious email message.

Abstract: Embodiments of the present systems and methods may provide data watermarking without reliance on error-tolerant fields, thereby providing for the incorporation of watermarks in data that was not considered suitable for watermarking. For example, in an embodiment, a computer-implemented method for watermarking data may comprise inserting watermark data into a field that requires format-preserving encryption.

Abstract: Embodiments of the present systems and methods may provide encrypted biometric information that can be stored and used for authentication with undegraded recognition performance. For example, in an embodiment, a method may comprise storing a plurality of encrypted trained weights of a neural network classifier, wherein the weights have been trained using biometric information representing at least one biometric feature of a person, receiving encrypted biometric information obtained by sampling at least one biometric feature of the person and encrypting the sampled biometric feature, obtaining an match-score using the encrypted trained neural network classifier, the match-score indicating a probability that the received encrypted biometric information matches the stored encrypted biometric information, and authenticating the person when the probability that received encrypted biometric information matches the stored encrypted biometric information exceeds a threshold.

Abstract: A computer implemented method of authenticating a user based on comparison of biometric data authentication process parameters measured during a biometric authentication process against a biometric signature authentication process model of the user, comprising receiving sensory data captured by one or more sensors operated to capture biometric data of a user during a biometric authentication process conducted to verify a biometric signature of the user, calculating a deviation of values of a plurality of authentication process parameters measured during analysis of the sensory data from the values of corresponding reference authentication process parameters retrieved from a biometric signature authentication process model of the user and authenticating the user based on verification of the biometric signature and according to the deviation.

Abstract: Embodiments of the present systems and methods may provide techniques for encryption of location information, while preserving a format and semantics of the information. For example, in an embodiment, a computer-implemented method for encrypting data may comprise receiving location data and generating encrypted data from the received location data, wherein the encrypted data preserves the format and semantics of the received location data.

Abstract: Embodiments of the present systems and methods may provide data watermarking without reliance on error-tolerant fields, thereby providing for the incorporation of watermarks in data that was not considered suitable for watermarking. For example, in an embodiment, a computer-implemented method for watermarking data may comprise inserting watermark data into a field that requires format-preserving encryption.

Abstract: Embodiments of the present invention may detect, identify, and notify of email phishing attacks. For example, a method may comprise constructing at least one behavioral model for an organization based on features extracted from a plurality of email messages and based on information relating to the organization, including analyzing behavioral patterns of emails in the organization, analyzing a plurality of new email messages using the behavioral model to determine non-binary scores representing analysis of features of the messages, including behavioral patterns of the new emails in the organization with regard to the features, determining whether any of the plurality of new email messages are malicious email messages based on the non-binary scores for the new email messages indicating that the new email messages deviate from the behavioral patterns of emails in the organization included in the behavioral model, and transmitting a notification that a message is a malicious email message.

Abstract: A data manager determines an appropriate number of clusters for continuous data using unsupervised learning. The data manager selects an appropriate number of clusters based on at least one temporal stability measure between continuous data from at least two time intervals.

Abstract: A data manager determines an appropriate number of clusters for continuous data using unsupervised learning. The data manager selects an appropriate number of clusters based on at least one temporal stability measure between continuous data from at least two time intervals.

Abstract: A data manager determines an appropriate number of clusters for continuous data using unsupervised learning. The data manager selects an appropriate number of clusters based on at least one temporal stability measure between continuous data from at least two time intervals.

Abstract: A data manager determines an appropriate number of clusters for continuous data using unsupervised learning. The data manager selects an appropriate number of clusters based on at least one temporal stability measure between continuous data from at least two time intervals.

Abstract: Disclosed is a system and method for image processing and image subject matching. A circuit and system may be used for matching/correlating an object/subject or person present (i.e. visible within) within two or more images. An object or person present within a first image or a first series of images (e.g. a video sequence) may be characterized and the characterization information (i.e. one or a set of parameters) relating to the person or object may be stored in a database, random access memory or cache for subsequent comparison to characterization information derived from other images.