On the Potential for Mining Unstructured Public Data to Aid Network Intelligence (Extended Poster Abstract)

Robert Beverly and Lance Alt
Annual Computer Security Applications (ACSAC) Conference (Poster),
New Orleans, LA, December 2014 (to appear).

We posit that unstructured public data can be data mined to aid network intelligence. Such non-traditional data sources include any available real-time data feeds: electronic mailing lists, RSS, twitter, or other social media. In this nascent work we limit our analysis to the potential mine data from an electronic mailing list, as well as making several simplifying assumptions.

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