Abstract: This disclosure provides techniques for pooling and searching network security events reported by multiple sources. As information representing a security event is received from one source, it is searched against a central or distributed database representing events reported from multiple, diverse sources (e.g., different client networks). Either the search or correlated results can be filtered and/or routed according at least one characteristic associated with the networks, for example, to limit correlation to events reported by what are presumed to be similarly situated networks. The disclosed techniques facilitate faster identification of high-relevancy security event information, and thereby help facilitate faster threat identification and mitigation. Various techniques can be implemented as standalone software (e.g., for use by a private network) or for a central pooling and/or query service. This disclosure also provides different examples of actions that can be taken in response to search results.

Abstract: Systems and methods are disclosed for computer network threat assessment. For example, methods may include receiving from client networks respective threat data and storing the respective threat data in a security event database; maintaining affiliations for groups of the client networks; detecting correlation between a network threat and one of the groups; identifying an indicator associated with the network threat, and, dependent on the affiliation for the group, identifying a client network and generating a message, which conveys an alert to the client network, comprising the indicator; responsive to the message, receiving, from the client network, a report of detected correlation between the indicator and security event data maintained by the client network; and updating the security event database responsive to the report of detected correlation.

Abstract: This disclosure provides techniques for pooling and searching network security events reported by multiple sources. As information representing a security event is received from one source, it is searched against a central or distributed database representing events reported from multiple, diverse sources (e.g., different client networks). Either the search or correlated results can be filtered and/or routed according at least one characteristic associated with the networks, for example, to limit correlation to events reported by what are presumed to be similarly situated networks. The disclosed techniques facilitate faster identification of high-relevancy security event information, and thereby help facilitate faster threat identification and mitigation. Various techniques can be implemented as standalone software (e.g., for use by a private network) or for a central pooling and/or query service. This disclosure also provides different examples of actions that can be taken in response to search results.

Abstract: This disclosure provides techniques for pooling and searching network security events reported by multiple sources. As information representing a security event is received from one source, it is searched against a central or distributed database representing events reported from multiple, diverse sources (e.g., different client networks). Either the search or correlated results can be filtered and/or routed according at least one characteristic associated with the networks, for example, to limit correlation to events reported by what are presumed to be similarly situated networks. The disclosed techniques facilitate faster identification of high-relevancy security event information, and thereby help facilitate faster threat identification and mitigation. Various techniques can be implemented as standalone software (e.g., for use by a private network) or for a central pooling and/or query service. This disclosure also provides different examples of actions that can be taken in response to search results.

Abstract: This disclosure provides techniques for pooling and searching network security events reported by multiple sources. As information representing a security event is received from one source, it is searched against a central or distributed database representing events reported from multiple, diverse sources (e.g., different client networks). Either the search or correlated results can be filtered and/or routed according at least one characteristic associated with the networks, for example, to limit correlation to events reported by what are presumed to be similarly situated networks. The disclosed techniques facilitate faster identification of high-relevancy security event information, and thereby help facilitate faster threat identification and mitigation. Various techniques can be implemented as standalone software (e.g., for use by a private network) or for a central pooling and/or query service. This disclosure also provides different examples of actions that can be taken in response to search results.

Abstract: Systems and methods are disclosed for computer network threat assessment. For example, methods may include receiving from client networks respective threat data and storing the respective threat data in a security event database; maintaining affiliations for groups of the client networks; detecting correlation between a network threat and one of the groups; identifying an indicator associated with the network threat, and, dependent on the affiliation for the group, identifying a client network and generating a message, which conveys an alert to the client network, comprising the indicator; responsive to the message, receiving, from the client network, a report of detected correlation between the indicator and security event data maintained by the client network; and updating the security event database responsive to the report of detected correlation.

Abstract: Systems and methods are disclosed for computer network threat assessment. For example, methods may include receiving from client networks respective threat data and storing the respective threat data in a security event database; maintaining affiliations for groups of the client networks; detecting correlation between a network threat and one of the groups; identifying an indicator associated with the network threat, and, dependent on the affiliation for the group, identifying a client network and generating a message, which conveys an alert to the client network, comprising the indicator; responsive to the message, receiving, from the client network, a report of detected correlation between the indicator and security event data maintained by the client network; and updating the security event database responsive to the report of detected correlation.

Abstract: This disclosure provides techniques for pooling and searching network security events reported by multiple sources. As information representing a security event is received from one source, it is searched against a central or distributed database representing events reported from multiple, diverse sources (e.g., different client networks). Either the search or correlated results can be filtered and/or routed according at least one characteristic associated with the networks, for example, to limit correlation to events reported by what are presumed to be similarly situated networks. The disclosed techniques facilitate faster identification of high-relevancy security event information, and thereby help facilitate faster threat identification and mitigation. Various techniques can be implemented as standalone software (e.g., for use by a private network) or for a central pooling and/or query service. This disclosure also provides different examples of actions that can be taken in response to search results.

Abstract: This disclosure provides techniques for pooling and searching network security events reported by multiple sources. As information representing a security event is received from one source, it is searched against a central or distributed database representing events reported from multiple, diverse sources (e.g., different client networks). Either the search or correlated results can be filtered and/or routed according at least one characteristic associated with the networks, for example, to limit correlation to events reported by what are presumed to be similarly situated networks. The disclosed techniques facilitate faster identification of high-relevancy security event information, and thereby help facilitate faster threat identification and mitigation. Various techniques can be implemented as standalone software (e.g., for use by a private network) or for a central pooling and/or query service. This disclosure also provides different examples of actions that can be taken in response to search results.

Abstract: This disclosure provides techniques for pooling and searching network security events reported by multiple sources. As information representing a security event is received from one source, it is searched against a central or distributed database representing events reported from multiple, diverse sources (e.g., different client networks). Either the search or correlated results can be filtered and/or routed according at least one characteristic associated with the networks, for example, to limit correlation to events reported by what are presumed to be similarly situated networks. The disclosed techniques facilitate faster identification of high-relevancy security event information, and thereby help facilitate faster threat identification and mitigation. Various techniques can be implemented as standalone software (e.g., for use by a private network) or for a central pooling and/or query service. This disclosure also provides different examples of actions that can be taken in response to search results.

Abstract: This disclosure provides techniques for pooling and searching network security events reported by multiple sources. As information representing a security event is received from one source, it is searched against a central or distributed database representing events reported from multiple, diverse sources (e.g., different client networks). Either the search or correlated results can be filtered and/or routed according at least one characteristic associated with the networks, for example, to limit correlation to events reported by what are presumed to be similarly situated networks. The disclosed techniques facilitate faster identification of high-relevancy security event information, and thereby help facilitate faster threat identification and mitigation. Various techniques can be implemented as standalone software (e.g., for use by a private network) or for a central pooling and/or query service. This disclosure also provides different examples of actions that can be taken in response to search results.

Abstract: This disclosure provides techniques for pooling and searching network security events reported by multiple sources. As information representing a security event is received from one source, it is searched against a central or distributed database representing events reported from multiple, diverse sources (e.g., different client networks). Either the search or correlated results can be filtered and/or routed according at least one characteristic associated with the networks, for example, to limit correlation to events reported by what are presumed to be similarly situated networks. The disclosed techniques facilitate faster identification of high-relevancy security event information, and thereby help facilitate faster threat identification and mitigation. Various techniques can be implemented as standalone software (e.g., for use by a private network) or for a central pooling and/or query service. This disclosure also provides different examples of actions that can be taken in response to search results.

Abstract: Systems and methods are disclosed for computer network threat assessment. For example, methods may include receiving from client networks respective threat data and storing the respective threat data in a security event database; maintaining affiliations for groups of the client networks; detecting correlation between a network threat and one of the groups; identifying an indicator associated with the network threat, and, dependent on the affiliation for the group, identifying a client network and generating a message, which conveys an alert to the client network, comprising the indicator; responsive to the message, receiving, from the client network, a report of detected correlation between the indicator and security event data maintained by the client network; and updating the security event database responsive to the report of detected correlation.

Abstract: An improved approach for classifying computer files as malicious (malware) or benign (whiteware) is disclosed. The invention classifies any computer file as malware or whiteware after using Bayes Theorem to evaluate each observable feature of each file with respect to other observable features of the same computer file with reference to statistical information gathered from repositories of known whiteware and malware files.

Abstract: Technologies for wireless device battery analysis and prediction are disclosed.

Abstract: An improved approach for classifying computer files as malicious (malware) or benign (whiteware) is disclosed. The invention classifies any computer file as malware or whiteware after using Bayes Theorem to evaluate each observable feature of each file with respect to other observable features of the same computer file with reference to statistical information gathered from repositories of known whiteware and malware files.

Abstract: This disclosure provides techniques for pooling and searching network security events reported by multiple sources. As information representing a security event is received from one source, it is searched against a central or distributed database representing events reported from multiple, diverse sources (e.g., different client networks). Either the search or correlated results can be filtered and/or routed according at least one characteristic associated with the networks, for example, to limit correlation to events reported by what are presumed to be similarly situated networks. The disclosed techniques facilitate faster identification of high-relevancy security event information, and thereby help facilitate faster threat identification and mitigation. Various techniques can be implemented as standalone software (e.g., for use by a private network) or for a central pooling and/or query service. This disclosure also provides different examples of actions that can be taken in response to search results.

Abstract: Technologies related to data analysis and reporting are disclosed. Data is gathered from multiple social media sources, including gathering data related to issues that users are experiencing related to the use of a deployed device. Trending data is identified based at least in part on an analysis of the gathered data. The trending data is classified into categories. Data similarity between the trending data in a respective category is measured to create groups. Groups and information related to issues associated with a given group are reported.

Abstract: Technologies for wireless device battery analysis and prediction are disclosed. A described technology includes collecting wireless device information including battery drain information relating to a battery of a wireless device; determining, based on the collected wireless device information, a plurality of prediction outcomes corresponding respectively to a plurality of different battery usage prediction models; determining accuracies respectively for the battery usage prediction models; generating weight values respectively for the battery usage prediction models based on the determined accuracies; and generating a battery prediction result for the wireless device based on the prediction outcomes and the generated weight values.

Abstract: A sensor device for detecting whether a tractor and a trailer of a truck are connected includes a container having a plurality of tabs extending radially outwardly to engage an inside surface of a bearing plate of the trailer when the container is located in a hole in the bearing plate. A spring extends from a base of the container away from the face surface to bear upon an interior wall of the trailer to bias the tabs into contact with the inside wall when the container is located in the hole to maintain a position of the container therein. A sensor is also provided for sensing proximity of a ferrous material and being located in the container. The sensor senses proximity of ferrous material of a coupler carried by the tractor without sensing ferrous material of the bearing plate.