A system for organizing, collecting, and presenting open-source intelligence

Abstract

Abstract Open-source intelligence is a rapidly expanding area of the security and intelligence industry, involving the collection of internet located open data from various sources, turning that data into actionable intelligence, which is reused where possible and relevant. While creating or processing the raw input data capturing and managing the corresponding provenance information, e.g., workflow, state, raw evidence, reports, and summaries, that simplifies its retrieval and reuse is essential. In comparison, scientific workflows and tools that support them are routinely used in the majority of academic research disciplines, managing diverse sets of data resources and their provenance. Based on the techniques established within the academic community, we have developed a system for managing this open-source intelligence data and associated provenance information. This will enhance the efficiency of retrieving stored data products and reusing them to support intelligence-led security decision-making. The open-source intelligence company partnered within this project has an operational envelope that includes collecting and analyzing personal subject information. Therefore, they must understand the scope of their data holdings appropriately, especially in light of obligations under the General Data Protection Regulation. The system developed allows for tracking requests for intelligence products, ownership of the collection, analysis and generation of intelligence briefs, and tracking the delivery of those final products to the customer for future billing. This adds further layers of efficiency to operations and hence reduces the costs of producing intelligence products.

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