Abstract: Various systems and methods are provided that retrieve data measured by various sensors associated with a sensor collection site and compress the retrieved data so that the compressed data can be transported to and stored in one or more databases in an efficient manner. The various systems and methods may further retrieve the data stored in the one or more databases and generate an interactive user interface to display the data. While each instance of measured data may include a plurality of parameters, the various systems and methods may flatten the measured data such that information pertaining to each parameter can be displayed in a two-dimensional graph. Features may be extracted from the stored data to identify events that have occurred or that may occur in the future during operation of the sensor collection site such that a user can take appropriate action.

Abstract: Computer-implemented systems and methods are disclosed for indexing and aggregating proxy server data. In accordance with some embodiments, the systems comprise a memory device configured to store a set of instructions, and one or more processors configured to execute the set of instructions to receive a plurality of log lines of proxy server data comprising a plurality of data components and index one or more of the plurality of data components for the plurality of log lines. The processors also generate a plurality of log data records, each including the one or more indexed data components, and generate a summarized data record by aggregating one or more log data records having at least one matching indexed data component.

Abstract: Various systems and methods are provided that retrieve data measured by various sensors associated with a sensor collection site and compress the retrieved data so that the compressed data can be transported to and stored in one or more databases in an efficient manner. The various systems and methods may further retrieve the data stored in the one or more databases and generate an interactive user interface to display the data. While each instance of measured data may include a plurality of parameters, the various systems and methods may flatten the measured data such that information pertaining to each parameter can be displayed in a two-dimensional graph. Features may be extracted from the stored data to identify events that have occurred or that may occur in the future during operation of the sensor collection site such that a user can take appropriate action.

Abstract: In various embodiments, systems, methods, and techniques are disclosed for analyzing various entity data items including users, computing devices, and IP addresses, to detect malfeasance. The data and/or database items may be automatically analyzed to detect malfeasance, such as criminal activity to disguise the origins of illegal activities. Various money laundering indicators or rules may be applied to the entity data items to determine a likelihood that money laundering is occurring. Further, the system may determine one or more scores (and/or metascores) for each entity data item that may be indicative of a likelihood that it is involved in money laundering. Scores/metascores may be determined based on, for example, various money laundering scoring criteria and/or strategies. Account entities may be ranked based on their associated scores/metascores. Various embodiments may enable an analyst to discover various insights related to money laundering.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically analyze a suspected malware file, or group of files. Automatic analysis of the suspected malware file(s) may include one or more automatic analysis techniques. Automatic analysis of may include production and gathering of various items of information related to the suspected malware file(s) including, for example, calculated hashes, file properties, academic analysis information, file execution information, third-party analysis information, and/or the like. The analysis information may be automatically associated with the suspected malware file(s), and a user interface may be generated in which the various analysis information items are presented to a human analyst such that the analyst may quickly and efficiently evaluate the suspected malware file(s).

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically analyze a suspected malware file, or group of files. Automatic analysis of the suspected malware file(s) may include one or more automatic analysis techniques. Automatic analysis of may include production and gathering of various items of information related to the suspected malware file(s) including, for example, calculated hashes, file properties, academic analysis information, file execution information, third-party analysis information, and/or the like. The analysis information may be automatically associated with the suspected malware file(s), and a user interface may be generated in which the various analysis information items are presented to a human analyst such that the analyst may quickly and efficiently evaluate the suspected malware file(s).