Crime Prevention Technologies and Applications for Advancing Criminal Investigation

Crime Prevention Technologies and Applications for Advancing Criminal Investigation

Chang-Tsun Li, Anthony T.S. Ho

Copyright: © 2012 |Pages: 348

ISBN13: 9781466617582|ISBN10: 1466617586|EISBN13: 9781466617599

DOI: 10.4018/978-1-4666-1758-2

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Li, Chang-Tsun, and Anthony T.S. Ho, editors. Crime Prevention Technologies and Applications for Advancing Criminal Investigation. IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1758-2

APA

Li, C. & Ho, A. T. (Eds.). (2012). Crime Prevention Technologies and Applications for Advancing Criminal Investigation. IGI Global. https://doi.org/10.4018/978-1-4666-1758-2

Chicago

Li, Chang-Tsun, and Anthony T.S. Ho, eds. Crime Prevention Technologies and Applications for Advancing Criminal Investigation. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1758-2

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The tools of crime constantly evolve, and law enforcement and forensic investigators must understand advanced forensic techniques to ensure that the most complete evidence is brought to trial. Paramount also the need for investigators to ensure that evidence adheres to the boundaries of the legal system, a place where policy often lags behind new innovations.

Crime Prevention Technologies and Applications for Advancing Criminal Investigation addresses the use of electronic devices and software for crime prevention, investigation, and the application of a broad spectrum of sciences to answer questions of interest to the legal system. This book fosters a forum for advancing research and development of the theory and practice of digital crime prevention and forensics.

Table of Contents

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Front Materials

Title Page

Copyright Page

Editorial Advisory Board

Preface

Chapters

Multimedia Forensics Based on Intrinsic Data

Chapter 1

A DFT-Based Analysis to Discern Between Camera and Scanned Images (pages 1-8)

Roberto Caldelli, Irene Amerini, Francesco Picchioni

Digital images are generated by different sensors, understanding which kind of sensor has acquired a certain image could be crucial in many application scenarios where digital forensic techniques operate. In this paper a new...

Chapter 2

Estimate of PRNU Noise Based on Different Noise Models for Source Camera Identification (pages 9-20)

Irene Amerini, Roberto Caldelli, Vito Cappellini, Francesco Picchioni, Alessandro Piva

Identification of the source that has generated a digital content is considered one of the main open issues in multimedia forensics community. The extraction of photo-response non-uniformity (PRNU) noise has been so far indicated as...

Chapter 3

Source Camera Identification Based on Sensor Readout Noise (pages 21-34)

H. R. Chennamma, Lalitha Rangarajan

A digitally developed image is a viewable image (TIFF/JPG) produced by a camera’s sensor data (raw image) using computer software tools. Such images might use different colour space, demosaicing algorithms or by different post...

Multimedia Security Based on Extrinsic Data

Chapter 4

Image Forensics Using Generalised Benford’s Law for Improving Image Authentication Detection Rates in Semi-Fragile Watermarking (pages 36-52)

Xi Zhao, Anthony T.S. Ho, Yun Q. Shi

In the past few years, semi-fragile watermarking has become increasingly important to verify the content of images and localise the tampered areas, while tolerating some non-malicious manipulations. In the literature, the majority of...

Chapter 5

Blind Detection of Additive Spread-Spectrum Watermarking in the Dual-Tree Complex Wavelet Transform Domain (pages 53-65)

Roland Kwitt, Peter Meerwald, Andreas Uhl

In this paper, the authors adapt two blind detector structures for additive spread-spectrum image watermarking to the host signal characteristics of the Dual-Tree Complex Wavelet Transform (DT-CWT) domain coefficients. The research...

Chapter 6

Spatio-Temporal Just Noticeable Distortion Model Guided Video Watermarking (pages 66-84)

Yaqing Niu, Sridhar Krishnan, Qin Zhang

Perceptual Watermarking should take full advantage of the results from human visual system (HVS) studies. Just noticeable distortion (JND), which refers to the maximum distortion that the HVS does not perceive, gives a way to model...

Chapter 7

Watermark-Only Security Attack on DM-QIM Watermarking: Vulnerability to Guided Key Guessing (pages 85-106)

B. R. Matam, David Lowe

This paper addresses the security of a specific class of common watermarking methods based on Dither modulation-quantisation index modulation (DM-QIM) and focusing on watermark-only attacks (WOA). The vulnerabilities of and probable...

Applications of Cryptography in Digital Forensics

Chapter 8

Cryptopometry as a Methodology for Investigating Encrypted Material (pages 108-127)

Niall McGrath, Pavel Gladyshev, Joe Carthy

When encrypted material is discovered during a digital investigation and the investigator cannot decrypt the material then he or she is faced with the problem of how to determine the evidential value of the material. This research is...

Chapter 9

Secure Robust Hash Functions and Their Applications in Non-Interactive Communications (pages 128-139)

Qiming Li, Sujoy Roy

A robust hash function allows different parties to extract a consistent key from a common fuzzy source, e.g., an image gone through noisy channels, which can then be used to establish a cryptographic session key among the parties...

Chapter 10

Steganography in Thai Text (pages 140-161)

Natthawut Samphaiboon, Matthew N. Dailey

Steganography, or communication through covert channels, is desirable when the mere existence of an encrypted message might cause suspicion or provide useful information to eavesdroppers. Text is effective for steganography due to...

Applications of Pattern Recognition and Signal Processing Techniques to Digital Forensics

Chapter 11

Digital Image Forensics Using Multi-Resolution Histograms (pages 163-175)

Jin Liu, Hefei Ling, Fuhao Zou, WeiQi Yan, Zhengding Lu

In this paper, the authors investigate the prospect of using multi-resolution histograms (MRH) in conjunction with digital image forensics, particularly in the detection of two kinds of copy-move manipulations, i.e., cloning and...

Chapter 12

Digital Image Splicing Using Edges (pages 176-187)

Jonathan Weir, Raymond Lau, WeiQi Yan

In this paper, the authors splice together an image which has been split up on a piece of paper by using duplication detection. The nearest pieces are connected using edge searching and matching and the pieces that have graphics or...

Chapter 13

A Biologically Inspired Smart Camera for Use in Surveillance Applications (pages 188-201)

Kosta Haltis, Matthew J. Sorell, Russell Brinkworth

Biological vision systems are capable of discerning detail as well as detecting objects and motion in a wide range of highly variable lighting conditions that proves challenging to traditional cameras. In this paper, the authors...

Chapter 14

Palmprint Recognition Based on Subspace Analysis of Gabor Filter Bank (pages 202-214)

Moussadek Laadjel, Ahmed Bouridane, Fatih Kurugollu, WeiQi Yan

This paper introduces a new technique for palmprint recognition based on Fisher Linear Discriminant Analysis (FLDA) and Gabor filter bank. This method involves convolving a palmprint image with a bank of Gabor filters at different...

Digital Evidence

Chapter 15

Suspect Sciences?: Evidentiary Problems with Emerging Technologies (pages 216-249)

Gary Edmond

This article examines the standards governing the admission of new types of expert evidence. Based on the rules of evidence and procedure in Australia, it explains how judges have been largely uninterested in the reliability of...

Chapter 16

Mobile Phone Forensic Analysis (pages 250-262)

Kevin Curran, Andrew Robinson, Stephen Peacocke, Sean Cassidy

During the past decade, technological advances in mobile phones and the development of smart phones have led to increased use and dependence on the mobile phone. The explosion of its use has led to problems such as fraud, criminal...

Chapter 17

Grey Areas: The Legal Dimensions of Cloud Computing (pages 263-273)

Michael Davis, Alice Sedsman

Cloud computing has been heralded as a new era in the evolution of information and communications technologies. ICT giants have invested heavily in developing technologies and mega server facilities, which allow end users to access...

Chapter 18

A Conceptual Methodology for Dealing with Terrorism “Narratives” (pages 274-290)

Gian Piero Zarri

This paper concerns the use of in-depth analytical/conceptual techniques pertaining to the Artificial Intelligence domain to deal with narrative information (or “narratives”) in the terrorism- and crime-related areas. More precisely...

Back Materials

Compilation of References

About the Contributors

Index

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