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 etc. However, forensic analysis is usually performed through experiments in lab which is expensive both in cost and time. Therefore, this book seeks to explore the progress and advancement of computational intelligence technique in different focus areas of forensic studies. This aims to build stronger connection between computer scientists and forensic field experts.

This book, Computational Intelligence in Digital Forensics: Forensic Investigation and Applications, is the first volume in the Intelligent Systems Reference Library series. The book presents original research results and innovative applications of computational intelligence in digital forensics. This edited volume contains seventeen chapters and presents the latest state-of-the-art advancement of Computational Intelligence in Digital Forensics; in both theoretical and application papers related to novel discovery in intelligent forensics. The chapters are further organized into three sections: (1) Introduction, (2) Forensic Discovery and Investigation, which discusses the computational intelligence technologies employed in Digital Forensic, and (3) Intelligent Forensic Science Applications, which encompasses the applications of computational intelligence in Digital Forensic, such as human anthropology, human biometrics, human by products, drugs, and electronic devices.

• Computational Intelligence
• Digital Forensic Science
• Digital Forensics

From the book reviews:

“This edited book introduces the reader to various aspects of digital forensics and digital investigation techniques. … the book is a useful companion for those interested in learning more about computation forensics … .” (Kim-Kwang Raymond Choo, Computing Reviews, July, 2014)

• Department of Software Engineering Faculty of Information and, Technical University of Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

  Azah Kamilah Muda

• Department of Software Engineering Faculty of Info. and Comm. Tech., Technical University of Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

  Yun-Huoy Choo

• Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

  Ajith Abraham

• Dept. of Computer Sci. and Engineering Center of Excellence for Document, The State University of New York SUNY, Buffalo, USA

  Sargur N. Srihari

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