Homeland Security Techniques & Technologies

Description

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.

CONTENTS:

Overview
Aggregation: Leverage the web, robots, & commercial demographics for entity validation
Integration: The components, adapters, middleware, & web services for information sharing
Collaboration: The technologies for communicating content, expertise, & analyses in real time
Categorization: The techniques for the clustering of concepts from unstructured content
Intelligence: Systems for detecting terrorist crimes
Mining: Pattern recognition & agent technologies for analyzing text & data remotely
CD contains demos