Automating Open Source Intelligence: Algorithms for OSINT (Computer Science Reviews and Trends)

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9780128029169: Automating Open Source Intelligence: Algorithms for OSINT (Computer Science Reviews and Trends)
Reseña del editor:

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

Biografía del autor:

Dr. Robert Layton is a Research Fellow at the Internet Commerce Security Laboratory (ICSL) at Federation University Australia. Dr Layton's research focuses on attribution technologies on the internet, including automating open source intelligence (OSINT) and attack attribution. Dr Layton's research has led to improvements in authorship analysis methods for unstructured text, providing indirect methods of linking profiles on social media. Paul A. Watters is a Professor of Information Technology at Massey University. He was previously Associate Professor of Information Security at the University of Ballarat, and co-founded the Cybercrime Research Laboratory at Macquarie University. His research interests are human factors in security and open source intelligence, and in measuring the risks associated with cybercrime, especially to children and young people. He is a Fellow of the British Computer Society and his work has been cited 1,249 times He has worked closely with government and industry on many projects, including Westpac, IBM, and the Australian Federal Police (AFP).

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Layton, Robert
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Robert Layton, Paul A. Watters
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Descripción Elsevier Science Publishing Co Inc, United States, 2015. Paperback. Estado de conservación: New. 235 x 190 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAZ9780128029169

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Robert Layton, Paul A. Watters
Editorial: Elsevier Science Publishing Co Inc, United States (2015)
ISBN 10: 0128029161 ISBN 13: 9780128029169
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Descripción Elsevier Science Publishing Co Inc, United States, 2015. Paperback. Estado de conservación: New. 235 x 190 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAZ9780128029169

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Robert Layton, Paul Watters
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Descripción Elsevier Science Publishing Co Inc. Paperback. Estado de conservación: new. BRAND NEW, Automating Open Source Intelligence: Algorithms for OSINT, Robert Layton, Paul 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. Nº de ref. de la librería B9780128029169

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Robert Layton, Paul A. Watters
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ISBN 10: 0128029161 ISBN 13: 9780128029169
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Descripción Paperback. Estado de conservación: New. Not Signed; 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. book. Nº de ref. de la librería ria9780128029169_rkm

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