Abstract: Providing predictive data predicting data values for a historical dataset. The method facilitates improving the accuracy of the predictive data by identifying for a user, and allowing the user to select ancillary datasets that can be evaluated, using a predictive evaluation, together with a historical dataset to improve the accuracy of the predictive data. A user interface is provided to a user. The user interface identifies one or more ancillary datasets. The ancillary datasets are identified to the user based on the ancillary datasets meeting a threshold condition to a historical dataset. The ancillary datasets are selectable by the user in the user interface. User input is received at the user interface selecting one or more of the ancillary datasets. A predictive dataset is displayed to the user. The predictive dataset is determined by predictive evaluation of the historical dataset and the one or more selected ancillary datasets.

Abstract: Described is a technology by which a signature used by network traffic intrusion prevention/detection systems includes logic that helps a prevention/detection engine detect that signature. A signature to detect is compiled into executable logic that is executed to communicate with an engine that evaluates network traffic. The signature logic provides an expression set (such as group of regular expressions) for the engine to match against a token corresponding to the network traffic. When matched, the engine notifies the logic and receives a further expression set to match, or a communication indicative that that the signature was detected. The signature thus directs the analysis, facilitating a lightweight, generic engine. Safety of the signature logic is described as being accomplished through layers, including by publisher signing, and by compilation and execution (e.g., interpretation) in safe environments.

Abstract: Described is a technology by which a signature used by network traffic intrusion prevention/detection systems includes logic that helps a prevention/detection engine detect that signature. A signature to detect is compiled into executable logic that is executed to communicate with an engine that evaluates network traffic. The signature logic provides an expression set (such as group of regular expressions) for the engine to match against a token corresponding to the network traffic. When matched, the engine notifies the logic and receives a further expression set to match, or a communication indicative that that the signature was detected. The signature thus directs the analysis, facilitating a lightweight, generic engine. Safety of the signature logic is described as being accomplished through layers, including by publisher signing, and by compilation and execution (e.g., interpretation) in safe environments.

Abstract: Described is a technology by which a signature used by network traffic intrusion prevention/detection systems includes logic that helps a prevention/detection engine detect that signature. A signature to detect is compiled into executable logic that is executed to communicate with an engine that evaluates network traffic. The signature logic provides an expression set (such as group of regular expressions) for the engine to match against a token corresponding to the network traffic. When matched, the engine notifies the logic and receives a further expression set to match, or a communication indicative that that the signature was detected. The signature thus directs the analysis, facilitating a lightweight, generic engine. Safety of the signature logic is described as being accomplished through layers, including by publisher signing, and by compilation and execution (e.g., interpretation) in safe environments.

Abstract: Providing predictive data predicting data values for a historical dataset. The method facilitates improving the accuracy of the predictive data by identifying for a user, and allowing the user to select ancillary datasets that can be evaluated, using a predictive evaluation, together with a historical dataset to improve the accuracy of the predictive data. A user interface is provided to a user. The user interface identifies one or more ancillary datasets. The ancillary datasets are identified to the user based on the ancillary datasets meeting a threshold condition to a historical dataset. The ancillary datasets are selectable by the user in the user interface. User input is received at the user interface selecting one or more of the ancillary datasets. A predictive dataset is displayed to the user. The predictive dataset is determined by predictive evaluation of the historical dataset and the one or more selected ancillary datasets.

Abstract: Described is a technology by which a signature used by network traffic intrusion prevention/detection systems includes logic that helps a prevention/detection engine detect that signature. A signature to detect is compiled into executable logic that is executed to communicate with an engine that evaluates network traffic. The signature logic provides an expression set (such as group of regular expressions) for the engine to match against a token corresponding to the network traffic. When matched, the engine notifies the logic and receives a further expression set to match, or a communication indicative that that the signature was detected. The signature thus directs the analysis, facilitating a lightweight, generic engine. Safety of the signature logic is described as being accomplished through layers, including by publisher signing, and by compilation and execution (e.g., interpretation) in safe environments.

Abstract: A security flag stored in a trusted store is utilized to determine if the trusted store has been subjected to tampering. The security flag is indicative of a globally unique identifier (GUID), the version of the trusted store, and a counter. The security flag is created when the trusted store is created. Each time a critical event occurs, the security flag is updated to indicate the occurrence thereof. The security flag also is stored in a write-once portion of the system registry. At appropriate times, the security flag stored in the trusted store is compared with the corresponding security flag stored in the write-once registry. If the security flags match within a predetermined tolerance, it is determined that the trusted store has not been subjected to tampering. If the security flags do not match, or if a security flag is missing, it is determined that the trusted store has been subjected to tampering.

Abstract: A streaming media caching mechanism and cache manager efficiently establish and maintain the contents of a streaming media cache for use in serving streaming media requests from cache rather than from an original data source when appropriate. The cost of caching is incurred only when the benefits of caching are likely to be experienced. The caching mechanism and cache manager evaluate the request count for each requested URL to determine whether the URL represents a cache candidate, and further analyze the URL request rate to determine whether the content associated with the URL will be cached. In an embodiment, the streaming media cache is maintained with a predetermined amount of reserve capacity rather than being filled to capacity whenever possible.

Abstract: A streaming media caching mechanism and cache manager efficiently establish and maintain the contents of a streaming media cache for use in serving streaming media requests from cache rather than from an original data source when appropriate. The cost of caching is incurred only when the benefits of caching are likely to be experienced. The caching mechanism and cache manager evaluate the request count for each requested URL to determine whether the URL represents a cache candidate, and further analyze the URL request rate to determine whether the content associated with the URL will be cached. In an embodiment, the streaming media cache is maintained with a predetermined amount of reserve capacity rather than being filled to capacity whenever possible.