Statistical language analysis for automatic exfiltration event detection.
Description:
This paper discusses the recent development a statistical approach for the automatic identification of anomalous network activity that is characteristic of exfiltration events. This approach is based on the language processing method eferred to as latent dirichlet allocation (LDA). Cyber security experts currently depend heavily on a rule-based framework for initial detection of suspect network events. The application of the rule set typically results in an extensive list of uspect network even…
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Date:
April 1, 2010
Creator:
Robinson, David Gerald
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UNT Libraries Government Documents Department