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Homeland security technology challenges : from sensing and encrypting to mining and modeling / / Giorgio Franceschetti, Marina Grossi, editors



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Titolo: Homeland security technology challenges : from sensing and encrypting to mining and modeling / / Giorgio Franceschetti, Marina Grossi, editors Visualizza cluster
Pubblicazione: Boston : , : Artech House, , ©2008
[Piscataqay, New Jersey] : , : IEEE Xplore, , [2008]
Descrizione fisica: 1 online resource (314 p.)
Disciplina: 363.350973 22
Soggetto topico: National security - United States - 21st century
Terrorism - Prevention
Telecommunication - Security measures
Soggetto genere / forma: Electronic books.
Altri autori: FranceschettiGiorgio  
GrossiMarina  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographic reference (p. 275-278) and index.
Nota di contenuto: Homeland Security Technology ChallengesFrom Sensing and Encrypting to Mining and Modeling; Contents; Preface; 1 The Homeland Security Scenario; 2 Embedded Wireless Sensor Networks; 3 Visual Detection and Classification of Humans, Their Pose, and Their Motion; 4 Cyber Security Basic Defenses and Attack Trends; 5 Mining Databases and Data Streams; 6 Private Information Retrieval: Single-Database Techniques and Applications; 7 Tapping Vehicle Sensors for Homeland Security; 8 Modeling and Analysis of Wireless Networked Systems; 9 Large Systems Modeling and Simulation; About the Authors; Index
Sommario/riassunto: This practical book offers you expert guidance on sensors and the preprocessing of sensed data, the handling of sensed data with secure and safe procedures, and the design, modeling and simulation of complex HS systems. You learn how to store, encrypt and mine sensitive data. Further, the book shows how data is transmitted and received along wired or wireless networks, operating on electromagnetic channels.
Titolo autorizzato: Homeland security technology challenges  Visualizza cluster
ISBN: 1-59693-290-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910455015403321
Lo trovi qui: Univ. Federico II
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Serie: Artech House intelligence and information operations series.