Homeland Security

Techniques And Technologies

Jesus Mena - Collection Networking Security Series

331 pages, parution le 13/07/2004

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Résumé

The strategic use of network-centric software for data aggregation, integration, collaboration, categorization, and pattern-recognition by homeland security personnel at the local, state, and federal level is essential in combating terrorism in the 21st century. With the use of an assortment of software components, self-adaptive intelligent systems can be created for real-time use by a network of analysts. Homeland Security Techniques and Technologies provides important tips and tools necessary for achieving security that is both proper and functional. The book illustrates several key topics required in successful combating terrorism e.g., data warehousing techniques for behavioral profiling and entity validation to prevent identity theft; artificial intelligence and the Internet for the creation of virtual databases of images, html files, and e-mails; aggregating, preparing, and mining data remotely over networks anywhere in the world; and the visual mapping of connecting and tracking individuals on a global scale. Homeland Security Techniques and Technologies is an essential guide to understanding the different forms of terrorism and knowing the techniques of combating and preventing attacks.

Key features

Shows how to detect crimes often associated with cyber-terrorism, such as identity theft and money laundering
Focuses on using artificial intelligence and the Internet to develop tools for the creation of virtual databases of images, html files, and e-mails
Covers data warehousing techniques for behavioral profiling and entity validation
Describes methods to organize, disseminate, and collaborate experts and content in real-time
CD-ROM includes homeland security techniques, presentations and demos

L'auteur - Jesus Mena

Jesús Mena (Alameda, CA) is a data mining consultant and writer with over 15 years experience. He is a former Artificial Intelligence Specialist for the Internal Revenue Service. Dozens of his articles have appeared in IT, Internet, Marketing, and AI publications. He is the author of Investigative Data Mining for Security and Criminal Detection, Data Mining Your Website, and WebMining for Profit.

Sommaire

Overview: The Homeland Security (HS) Tasks, Technologies, and Processes
Aggregation: How to Leverage the Web, Robots, and Commercial Demographics for Entity Validation
Integration: The Components, Adapters, Middleware, and Web Services for Information Sharing
Collaboration: The Technologies for Communicating Content, Expertise, and Analyses in Real Time
Categorization: The Techniques for the Clustering of Concepts from Unstructured Content
Intelligence: Systems for Detecting Terrorist Crimes
Mining: Pattern Recognition and Agent Technologies for Analyzing Text and Data Remotely

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Charles River Media
Auteur(s)	Jesus Mena
Collection	Networking Security Series
Parution	13/07/2004
Nb. de pages	331
Format	19 x 23,5
Couverture	Broché
Poids	700g
Intérieur	Noir et Blanc
EAN13	9781584503286
ISBN13	978-1-58450-328-6