Automating Open Source Intelligence Algorithms for OSINT 1st Edition by Robert Layton, Paul A Watters ISBN 978-0128029169 0128029161

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Product details: 

ISBN 10:   0128029161

ISBN 13: 978-0128029169

Author: Robert Layton, Paul A Watters

Algorithms for Automating Open Source Intelligence (OSINT) presents information on the gathering of information and extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently, social media. As OSINT has applications in crime fighting, state-based intelligence, and social research, this book provides recent advances in text mining, web crawling, and other algorithms that have led to advances in methods that can largely automate this process.

The book is beneficial to both practitioners and academic researchers, with discussions of the latest advances in applications, a coherent set of methods and processes for automating OSINT, and interdisciplinary perspectives on the key problems identified within each discipline.

Drawing upon years of practical experience and using numerous examples, editors Robert Layton, Paul Watters, and a distinguished list of contributors discuss Evidence Accumulation Strategies for OSINT, Named Entity Resolution in Social Media, Analyzing Social Media Campaigns for Group Size Estimation, Surveys and qualitative techniques in OSINT, and Geospatial reasoning of open data.

• Presents a coherent set of methods and processes for automating OSINT
• Focuses on algorithms and applications allowing the practitioner to get up and running quickly
• Includes fully developed case studies on the digital underground and predicting crime through OSINT
• Discusses the ethical considerations when using publicly available online data

Table of contents: 

Chapter 1 – The Automating of Open Source Intelligence

• The Commercial Angle

• Algorithms

Chapter 2 – Named Entity Resolution in Social Media

• Discussion

Chapter 3 – Relative Cyberattack Attribution

• Basic Attack Structure

• Anonymization on the Internet

• Weaknesses in Anonymization

• Attribution as a Concept

• Absolute Attribution

• Relative Attribution

• Relative Attribution Concepts

• Inherent Versus Learnt Behaviors

• Hiding Behavior

• Consistency of Behavior

• Relative Attribution Techniques

• Authorship Analysis

• Limitations and Issues

• Research Streams

Chapter 4 – Enhancing Privacy to Defeat Open Source Intelligence

• Requirements and Threats

• Preliminaries

• The PIEMCP

• Formal Security Analysis with CPN

• Performance Analysis of FSSO-PIEMC

Chapter 5 – Preventing Data Exfiltration: Corporate Patterns and Practices

• What is Happening Around the World?

• What is Happening in New Zealand?

• Specifying the Problem

• Problems Arising by Implementing Censorship

• So, What Should be Done?

• Summary

Chapter 6 – Gathering Intelligence on High-Risk Advertising and Film Piracy: A Study of the Digital Underground

• Advertising and Risk

• The Digital Millennium Copyright Act (DMCA)

• Chilling Effects Database

• Google Transparency Report

• Mainstream Advertising and How Piracy is Funded

• High-Risk Advertising and Their Links to Piracy Websites

• High-Risk Advertising: Case Studies in Canada

• High-Risk Advertising: Case Studies in Australia

• High-Risk Advertising: Case Studies in New Zealand

• Research Challenges

Chapter 7 – Graph Creation and Analysis for Linking Actors: Application to Social Data

• The Social Network Model

• Graph Creation Techniques

• Graph Analysis for OSINT

• Twitter Case Study

Chapter 8 – Ethical Considerations When Using Online Datasets for Research Purposes

• Existing Guidelines

• Interpretation of Existing Guidelines for Online Purposes

• The Three Proposed Principles Applied to Online Research

  • Autonomy

  • Obtaining Consent

  • Benefits Against Risks

  • Justice

Chapter 9 – The Limitations of Automating OSINT: Understanding the Question, Not the Answer

• Finding Answers to Questions

• Credibility and the Quality of Results

• Relevance

• The Limitations of Automating OSINT

Chapter 10 – Geospatial Reasoning With Open Data

• The Open Geospatial Data Environment

• Review of Reasoning Methods with Geospatial Data

• Case Studies in Geospatial Reasoning

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Tags: Robert Layton, Paul A Watters, Automating Open Source, Intelligence Algorithms