Project Umbra

EasyChair Preprint 3634

Abstract

Open Source Intelligence (OSInt) is the mining of public data sources to achieve some intelligence goal. Although activities range widely, the problems faced by OSInt analysts remain similar and include: managing the information flood of public data sources, establishing the veracity of information found, documenting the provenance of information found, and structuring results to enable sensible analysis. We intend to address each of these through a novel project called Umbra. Aimed at supporting OSInt for the purpose of investigating human subjects, Umbra will help an analyst to: 1) filter out noise from relevant data, 2) track similar data from multiple sources as a form of corroboration, 3) annotate and time-stamp information found, and 4) tag/classify data.

Keyphrases: OSINT, Open Source Intelligence, Umbra, background search, human subjects, missing people

@booklet{EasyChair:3634,
  author    = {Timothy Wright and Shaun Whitfield and Sean Cahill and John Duffy},
  title     = {Project Umbra},
  howpublished = {EasyChair Preprint 3634},
  year      = {EasyChair, 2020}}