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Open Source Intelligence

Journal Article

Journal Article

Adaptation by Intelligent Adversaries to Defensive Measures: Framing Adaptation Options and Demonstrating Assessment of Attacker Preferences Using Proxy Intelligence Data

Addressing adaptation by adversaries and its implications for security planning requires understanding the ways attackers can respond to new defensive measures. This paper demonstrates an analysis of such preferences using open source data.

Oct 2, 2018
Report

Report

Defining Second Generation Open Source Intelligence (OSINT) for the Defense Enterprise

This report describes the evolution of open source intelligence, defines open source information and the intelligence cycle, and parallels with other intelligence disciplines, along with methods used and challenges of using off-the-shelf technology.

May 17, 2018
Commentary

The Insight of Twitter

Exploring how people use social media has provided useful insight into public opinion. This insight may be particularly valuable in countries where freedom of expression may be limited, for whom social media may serve as an important outlet, writes Douglas Yeung.

Oct 31, 2012
Research Brief

Research Brief

Can Social Media Help Analyze Public Opinion? A Case Study of Iranian Public Opinion After the 2009 Election

Describes a methodology for analyzing public opinion and mood in closed societies, focusing on a case study that analyzed Iranian public opinion and mood as expressed over Twitter in the nine months following Iran's 2009 presidential election.

Oct 4, 2012
Periodical

Prolific Profanities Seemed to Predict Prominent Protests

Twitter and other social media reportedly played a big role in the protests following the 2009 Iranian presidential election. Analysis of word usage in millions of tweets about the election and its aftermath reveals that spikes in the use of swear words could forecast the outbreak of large-scale protests.

May 11, 2012
Report

Report

Tracking Public Sentiment in Iran After the Contested 2009 Election with Twitter

Social media was used in the 2009 protests to organize and communicate under government censorship. An analysis of more than 2.5 million tweets discussing the Iran election holds promise for such policy uses as assessing public opinion and forecasting events such as large-scale protests.

Jan 17, 2012
Content

Content

Timothy R. Heath

Senior International/Defense Researcher
Education M.A. in Asian studies, George Washington University; B.A. in philosophy, College of William and Mary
Content

Content

Lillian Ablon

Information Scientist
Education M.S. in mathematics, Johns Hopkins University; B.A. in mathematics, University of California, Berkeley
Content

Content

Dan Gonzales

Senior Scientist
Education Ph.D. in theoretical physics, Massachusetts Institute of Technology; B.S. in physics, Stanford University
Content

Content

Bradley Knopp

Senior International / Defense Researcher
Education BA in political science, Furman University; MA in political science, Georgetown University; Cert in national security studies, National War College
Content

Content

Cortney Weinbaum

Management Scientist
Education B.S. in physics, University of Michigan

RAND Topic:
Open Source Intelligence

Topic Synonyms:
Open-Source Intelligence;
OSINT

Open Source Intelligence

Adaptation by Intelligent Adversaries to Defensive Measures: Framing Adaptation Options and Demonstrating Assessment of Attacker Preferences Using Proxy Intelligence Data

Defining Second Generation Open Source Intelligence (OSINT) for the Defense Enterprise

The Insight of Twitter

Can Social Media Help Analyze Public Opinion? A Case Study of Iranian Public Opinion After the 2009 Election

Prolific Profanities Seemed to Predict Prominent Protests

Tracking Public Sentiment in Iran After the Contested 2009 Election with Twitter

Timothy R. Heath

Lillian Ablon

Dan Gonzales

Bradley Knopp

Cortney Weinbaum

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