Open Source Intelligence Analysis
A Methodological Approach
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Open sources contain publicly available informationat a low cost. The amount of open source informationan individual has access to has increaseddramatically in the 21st century. The question is howto evaluate these diversified open sources inproducing intelligence- supporting the policymakersin making their decisions by providing them with thenecessary information. To retrieve the actionableintelligence from huge amounts of open sourceinformation, and to do source validation are bigchallenges. In this book, an open source intelligence(OSINT) integrated intelligence model is proposed,and compar...
Open sources contain publicly available information
at a low cost. The amount of open source information
an individual has access to has increased
dramatically in the 21st century. The question is how
to evaluate these diversified open sources in
producing intelligence- supporting the policymakers
in making their decisions by providing them with the
necessary information. To retrieve the actionable
intelligence from huge amounts of open source
information, and to do source validation are big
challenges. In this book, an open source intelligence
(OSINT) integrated intelligence model is proposed,
and compared with the traditional intelligence model.
The contemporary intelligence analyst and his OSINT
making process is discussed. A case study of OSINT is
presented, analyzed and the analysis results are
given. The work discusses the varying procedures
involved in the OSINT tasks and the need for metrics,
and should be useful to information professionals,
analysts, decision makers, or anyone else who needs
to do analysis on data.
at a low cost. The amount of open source information
an individual has access to has increased
dramatically in the 21st century. The question is how
to evaluate these diversified open sources in
producing intelligence- supporting the policymakers
in making their decisions by providing them with the
necessary information. To retrieve the actionable
intelligence from huge amounts of open source
information, and to do source validation are big
challenges. In this book, an open source intelligence
(OSINT) integrated intelligence model is proposed,
and compared with the traditional intelligence model.
The contemporary intelligence analyst and his OSINT
making process is discussed. A case study of OSINT is
presented, analyzed and the analysis results are
given. The work discusses the varying procedures
involved in the OSINT tasks and the need for metrics,
and should be useful to information professionals,
analysts, decision makers, or anyone else who needs
to do analysis on data.
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