Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security

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Chang-Tsun Li
Idea Group Inc (IGI), 2013 - Law - 345 pages
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The revolutionary way in which modern technologies have enabled us to exchange information with ease has created a demand for interdisciplinary research in digital forensics and investigations aiming to combat the abuse of computer technologies.

Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security presents various digital crime and forensic disciplines that use electronic devices and software for crime prevention and detection. This book provides theoretical and empirical research articles and case studies for a broad range of academic readers as well as professionals, industry consultants, and practitioners involved in the use, design, and development of techniques related to digital forensics and investigation.

 

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Contents

Fingerprint Liveness Detection Based on Fake Finger Characteristics
1
Identification of Natural Images and Computer Generated Graphics Based on Hybrid Features
18
An Image Region Description Method Based on Step Sector Statistics and its Application in Image CopyRotateFlipMove Forgery Detection
35
Daubechies Wavelets Based Robust Audio Fingerprinting for ContentBased Audio Retrieval
50
An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery
64
An Adaptive JPEG Steganographic Scheme Based on the Block Entropy of DCT Coefficients
77
A Study on Embedding Efficiency of Matrix Encoding
92
Spam 20 State of the Art
103
A Model for Hybrid Evidence Investigation
150
A Comprehensive Survey of Event Analytics
166
Hypothesis Generation and Testing in Event Profiling for Digital Forensic Investigations
181
A Framework for the Forensic Analysis of User Interaction with Social Media
195
The Challenges of Cloud Computing in Digital Forensics
211
The Need for Digital Evidence Standardisation
234
Compilation of References
246
About the Contributors
271

Digital Evidence
122
A Platform for the Evaluation of Live Digital Forensics
123
Likelihood Ratio Based Approach with Lexical Features
138

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About the author (2013)

Chang-Tsun Li received the B.E. degree in electrical engineering from Chung-Cheng Institute of Technology (CCIT), National Defense University, Taiwan, in 1987, the MSc degree in computer science from U. S. Naval Postgraduate School, USA, in 1992, and the Ph.D. degree in computer science from the University of Warwick, UK, in 1998. He was an associate professor of the Department of Electrical Engineering at CCIT during 1998-2002 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 Professor of the Department of Computer Science at the University of Warwick, UK, a Fellow of British Computer Society, the Editor-in-Chief of the International Journal of Digital Crime and Forensics, an editor of the International Journal of Imaging (IJI) and an associate editor of the International Journal of Applied Systemic Studies (IJASS) and the International Journal of Computer Sciences and Engineering Systems (IJCSE). He has involved in the organisation of a number of international conferences and workshops and also served as member of the international program committees for several international conferences. He is also the coordinator of the international joint project entitled Digital Image and Video Forensics funded through the Marie Curie Industry-Academia Partnerships and Pathways (IAPP) under the EU's Seventh Framework Programme from June 2010 to May 2014. His research interests include digital forensics, multimedia security, bioinformatics, computer vision, image processing, pattern recognition, evolutionary computation, machine learning and content-based image retrieval.

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