T�tulo: Handbook of Research on Computational Forensics, Digital Crime, and Investigation: Methods and Solutions
Editor: Information Science Reference
Fecha de publicaci�n: 2009
Idioma: Ingl�s
ISBN 10: 1605668362
ISBN 13: 9781605668369
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

Due to the rise of digital crime and the pressing need for methods of combating these forms of criminal activities, there is an increasing awareness of the importance of digital forensics and investigation. The Handbook of Research on Computational Forensics, Digital Crime, and Investigation: Methods and Solutions addresses a broad range of electronic devices and software for crime prevention and investigation. This defining body of research covers a wide spectrum of topics useful to a broad cross-sectional and multi-disciplinary readership ranging from academic and professional research communities to industry consultants and practitioners.

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Chang-Tsun Li received the BS degree in electrical engineering from Chung-Cheng Institute of Technology (CCIT), National Defense University (Taiwan, 1987), the MS degree in computer science from U. S. Naval Postgraduate School (USA, 1992), and the PhD degree in computer science from the University of Warwick (UK, 1998). He was an associate professor of the Department of Electrical Engineering at CCIT during 1999-2002 and a visiting professor of the Department of Computer Science at U.S. Naval Postgraduate School in the second half of 2001. He is currently an associate professor of the Department of Computer Science at the University of Warwick (UK), editor-in-chief of the International Journal of Digital Crime and Forensics (IJDCF) and associate editor of the International Journal of Applied Systemic Studies (IJASS). He has been involved in the organization of a number of international conferences and workshops and also served as member of the international program committees for several international conferences. His research interests include digital forensics, multimedia security, bioinformatics, image processing, pattern recognition, computer vision, and content-based image retrieval.

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