Abstract: Time-based partitioning of a data set is applied to capture updates to the data set in a copy of the data set. Items that have been updated in a data set with in a time period are identified. Partitions of the data set that include the updated items are created according to a partitioning scheme. The created partitions are grouped in a storage location for the time period in a file structure that stores a copy of the database. A latest version of the copy of the data set may be accessed according to latest partitions of the data set stored in the different locations of the file structure.

Abstract: A computing system includes a processor and memory coupled to the processor and storing instructions that, when executed by the processor provide a user interface module. The user interface module is configured to generate a tracker definition user interface having a threat parameter selection user interface element configured to receive a selection of at least one threat parameter, the tracker definition user interface also having a threat value user interface element configured to receive input specifying a threat value to match for the specified at least one threat parameter. The processor is configured to save a tracker based on the selection of at least one threat parameter and the threat value, and wherein the processor is configured to access a threat data store and execute the tracker against the threat data store to provide a tracker result.

Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.

Abstract: A computing system includes a processor and memory coupled to the processor and storing instructions that, when executed by the processor provide a user interface module. The user interface module is configured to generate a tracker definition user interface having a threat parameter selection user interface element configured to receive a selection of at least one threat parameter, the tracker definition user interface also having a threat value user interface element configured to receive input specifying a threat value to match for the specified at least one threat parameter. The processor is configured to save a tracker based on the selection of at least one threat parameter and the threat value, and wherein the processor is configured to access a threat data store and execute the tracker against the threat data store to provide a tracker result.

Abstract: A respiratory gas flow coupling includes a device connector having a female receptacle or male nipple with a side-oriented leak path. A patient accessory connector has a male nipple or female receptacle adapted to connect with the female receptacle or male nipple of the device connector. The patient accessory connector seals the side-oriented leak path of the female receptacle or male nipple of the device connector when the patient accessory connector is connected with the device connector. The side-oriented leak path is disposed at a position such that a shorter male nipple or female receptacle of an incompatible patient accessory connector which is shorter than the male nipple of the patient accessory connector does not seal the side-oriented leak path when the incompatible patient accessory connector with the shorter male nipple is connected with the device connector.

Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.

Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.

Abstract: Threat intelligence management is provided in a security and compliance environment. A threat explorer platform or module of a security and compliance service may detect, investigate, manage, and provide actionable insights for threats at an organizational level. Working with a data insights platform that collects different types of signals (metadata, documents, activities, etc.) and correlates in a multi-stage evaluation, the threat intelligence module may provide actionable visual information on potential threats, affected areas, and actionable insights derived from internal threat data and external information using contextual correlation of data within the data insight platform. User experience may be dynamically adjusted at multiple levels based on context and allow users to drill down arbitrarily deep.

Abstract: Certain aspects of the present disclosure provide techniques for scalably and efficiently converting linear image data into multi-dimensional image data for multimedia applications. In one example, a method for managing image data includes receiving a line of image data in a linear format via a system bus of width T, wherein the image data's native format is a tile format of H lines per tile; forming H subsets of image data from the line of image data in the linear format; writing the H subsets of image data to a memory comprising BN=H banks of BW=T/BN pixel width, wherein each subset of the H subsets is written to a different bank of the BN banks; and outputting the H subsets of image data in the tile format.

Abstract: Techniques are described for performing transformation on video data. A transform circuit may receive M sample values of the video data from a pre-transform buffer, and process the M sample values with N computation units of the transform circuit to generate intermediate values. Processing the M sample values to generate the intermediate values includes feeding back temporary values from output of one or more of the N computation units to input of one or more of the N computation units. The transform circuit may store a first set of the intermediate values in a transpose buffer, and store a second set of the intermediate values in the pre-transform buffer that are to be later retrieved for storage in the transpose buffer.

Abstract: Certain aspects of the present disclosure provide techniques for scalably and efficiently converting linear image data into multi-dimensional image data for multimedia applications. In one example, a method for managing image data includes receiving a line of image data in a linear format via a system bus of width T, wherein the image data's native format is a tile format of H lines per tile; forming H subsets of image data from the line of image data in the linear format; writing the H subsets of image data to a memory comprising BN=H banks of BW=T/BN pixel width, wherein each subset of the H subsets is written to a different bank of the BN banks; and outputting the H subsets of image data in the tile format.

Abstract: Techniques to select and prioritize the application of spam filtering rules in a way that reduces processing time may include receiving an email message for a recipient at a spam filter and extracting email characteristics from the message. Global filtering rule statistics and a profile for the recipient may be retrieved. The technique may include selecting a subset of rules from a set of filtering rules according to the email characteristics, the global filtering rule statistics, and/or the recipient characteristics. The subset of rules may be prioritized and applied to the message from highest priority to lowest until a determination of whether the message is spam is reached. Other embodiments are described and claimed.

Abstract: The computing device generates a classification model providing prediction data indicating predicted users in a target population who will respond to a target stimulus according to a predefined user response category. The computing device displays in GUI a graphical representation of a generated classification model and a plurality of options each specifying one of different objectives for determining a proportion of users in the target population to expose to the target stimulus. The computing device predicts proportion data indicating the proportion of users in the target population to expose to the target stimulus based on the determined location of the cut-off. The computing device issues one or more indications as to whether to use the classification model as a basis for exposing the proportion of users in the target population to the target stimulus according to the proportion data.

Abstract: A system and method are disclosed in which a node of a peer-to-peer (P2P) network supporting a blockchain is able to restart following network or power disruption (or is able to initially join the blockchain network) by bootstrapping information from one or more peer nodes in the P2P network. The bootstrapping operation involves communication between the Trusted Execution Environments (TEEs) of the two or more nodes. The system and method ensure that the retrieval of data related to the blockchain state are not from untrusted parts of the peer node(s) and the data has not been tampered with (avoidance of replay attacks).

Abstract: As the quality and quantity of shared video content increases, video encoding standards and techniques are being developed and improved to reduce bandwidth consumption over telecommunication and other networks. One such technique for compressing videos involves transforming image data into an alternate, encoding-friendly domain (e.g., by a two-dimensional discrete cosine transform). Transform modules may be implemented to perform these transformations, which may occur during both video encoding and decoding processes. Provided are exemplary techniques for improving the efficiency and performance of transform module implementations.

Abstract: A computing system includes a processor and memory coupled to the processor and storing instructions that, when executed by the processor provide a user interface module. The user interface module is configured to generate a tracker definition user interface having a threat parameter selection user interface element configured to receive a selection of at least one threat parameter, the tracker definition user interface also having a threat value user interface element configured to receive input specifying a threat value to match for the specified at least one threat parameter. The processor is configured to save a tracker based on the selection of at least one threat parameter and the threat value, and wherein the processor is configured to access a threat data store and execute the tracker against the threat data store to provide a tracker result.

Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.

Abstract: An information display system for a switching device includes a cover for the switching device, the cover including a first section and a second section, and a faceplate magnetically attracted to the cover and configured to carry information about the switching device, the faceplate further including an opening, at least a portion of the second section of the cover overlapped by the faceplate. The faceplate is adjustable with respect to the cover.