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The Theory of Dark Network Design

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Author :
Release : 2010
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis The Theory of Dark Network Design by : Ian S. Davis

Download or read book The Theory of Dark Network Design written by Ian S. Davis. This book was released on 2010. Available in PDF, EPUB and Kindle. Book excerpt: This study presents a theory of dark network design and answers two fundamental questions about illuminating and interdicting dark networks: how are they configured and how are they vulnerable? We define dark networks as interdependent entities that use formal and informal ties to conduct licit or illicit activities and employ operational security measures and/or clandestine tradecraft techniques through varying degrees of overt, or more likely covert, activity to achieve their purpose. A dark network must design itself to buffer environmental hostility and produce output to achieve its purpose according to its design state. The level of hostility in the environment and the requirement for secure coordination of work determine the dark network's design state. These factors yield four typological dark network configurations: Opportunistic-Mechanical; Restrictive-Organic; Selective-Technical; and Surgical-Ad hoc. Each configuration must allow the secure coordination of work between the dark network's directional, operational, and supportive components and should adhere to the six principles of dark network design we identify: security, agility, resilience, direction setting, control, and capacity. If a dark network's configuration does not fit its design state or violates the principles of dark network design, the network will be vulnerable to illumination and interdiction.

Disrupting Dark Networks

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Author :
Release : 2012-11-12
Genre : Computers
Kind : eBook
Book Rating : 592/5 ( reviews)

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Book Synopsis Disrupting Dark Networks by : Sean F. Everton

Download or read book Disrupting Dark Networks written by Sean F. Everton. This book was released on 2012-11-12. Available in PDF, EPUB and Kindle. Book excerpt: Sean F. Everton focuses on how social network analysis can be used to craft strategies to track, destabilize, and disrupt covert, illegal networks. He illustrates these methods through worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek, and ORA), using standard network data sets as well as data from an actual terrorist network to serve as a running example throughout the book.

Understanding Dark Networks

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Author :
Release : 2016-03-07
Genre : Political Science
Kind : eBook
Book Rating : 455/5 ( reviews)

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Book Synopsis Understanding Dark Networks by : Daniel Cunningham

Download or read book Understanding Dark Networks written by Daniel Cunningham. This book was released on 2016-03-07. Available in PDF, EPUB and Kindle. Book excerpt: Dark networks are the illegal and covert networks (e.g, insurgents, jihadi groups, or drug cartels) that security and intelligence analysts must track and identify to be able to disrupt and dismantle them. This text explains how this can be done by using the Social Network Analysis (SNA) method. Written in an accessible manner, it provides an introduction to SNA, presenting tools and concepts, and showing how SNA can inform the crafting of a wide array of strategies for the tracking and disrupting of dark networks.

Illuminating Dark Networks

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Author :
Release : 2015-07-23
Genre : Social Science
Kind : eBook
Book Rating : 874/5 ( reviews)

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Book Synopsis Illuminating Dark Networks by : Luke M. Gerdes

Download or read book Illuminating Dark Networks written by Luke M. Gerdes. This book was released on 2015-07-23. Available in PDF, EPUB and Kindle. Book excerpt: Some of the most important international security threats stem from terror groups, criminal enterprises, and other violent non-state actors (VNSAs). Because these groups are often structured as complex, dark networks, analysts have begun to use network science to study them. However, standard network tools were originally developed to examine companies, friendship groups, and other transparent networks. The inherently clandestine nature of dark networks dictates that conventional analytical tools do not always apply. Data on dark networks is incomplete, inaccurate, and often just difficult to find. Moreover, dark networks are often organized to undertake fundamentally different tasks than transparent networks, so resources and information may follow different paths through these two types of organizations. Given the distinctive characteristics of dark networks, unique tools and methods are needed to understand these structures. Illuminating Dark Networks explores the state of the art in methods to study and understand dark networks.

Dark Web

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Author :
Release : 2011-12-17
Genre : Computers
Kind : eBook
Book Rating : 578/5 ( reviews)

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Book Synopsis Dark Web by : Hsinchun Chen

Download or read book Dark Web written by Hsinchun Chen. This book was released on 2011-12-17. Available in PDF, EPUB and Kindle. Book excerpt: The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace. This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.

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