Automating Open Source Intelligence

Algorithms for OSINT de

,

Éditeur :

Syngress


Paru le : 2015-12-03

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Description
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
Pages
222 pages
Collection
n.c
Parution
2015-12-03
Marque
Syngress
EAN papier
9780128029169
EAN PDF
9780128029176

Informations sur l'ebook
Nombre pages copiables
22
Nombre pages imprimables
22
Taille du fichier
13066 Ko
Prix
45,31 €
EAN EPUB SANS DRM
9780128029176

Informations sur l'ebook
Prix
45,31 €

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