Computational Intelligence in Digital Forensics: Forensic Investigation and Applications
Computational Intelligence techniques have been widely explored in various domains including forensics. Analysis in forensic encompasses the study of pattern analysis that answer the question of interest in security, medical, legal, genetic studies and et
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Azah Kamilah Muda Yun-Huoy Choo Ajith Abraham Sargur N. Srihari Editors
Computational Intelligence in Digital Forensics: Forensic Investigation and Applications
Studies in Computational Intelligence Volume 555
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
For further volumes: http://www.springer.com/series/7092
About this Series The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, selforganizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.
Azah Kamilah Muda · Yun-Huoy Choo Ajith Abraham · Sargur N. Srihari Editors
Computational Intelligence in Digital Forensics: Forensic Investigation and Applications
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Editors Azah Kamilah Muda Department of Software Engineering Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka (UTeM) Durian Tunggal Malaysia Yun-Huoy Choo Department of Software Engineering Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka (UTeM) Durian Tunggal Malaysia
ISSN 1860-949X ISBN 978-3-319-05884-9 DOI 10.1007/978-3-319-05885-6
Ajith Abraham Scientific Network for Innovation and Research Excellence Machine Intelligence Research Labs (MIR Labs) Auburn, Washington USA Sargur N. Srihari Department of Computer Science and Engineering Center of Excellence for Document The State University of New York SUNY Buffalo, New York USA
ISSN 1860-9503 (electronic) ISBN 978-3-319-05885-6 (eBook)
Springer Cham Heidelberg New York Dordrecht London Library of Congress Control Number: 2014935371 c Springer International Publishing Switzerland 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of be
