CfP: Special Issue on Soft Computing for Digital Information Forensics

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Katrin Franke

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Sep 22, 2008, 11:49:49 AM9/22/08
to Computational Forensics, kyfr...@gmail.org
http://www.csee.wvu.edu/~noore/SoftComputing.pdf

International Journal of Soft Computing
(http://www.springer.com/engineering/journal/500)


Special Issue on Soft Computing for Digital Information Forensics

Introduction

The emergence and evolution of new digital technologies are
dramatically changing how information is captured, processed,
analyzed, interpreted, transmitted, and stored. While digital
technology has greatly improved the collection and analysis of
evidences, the underlying research challenges primarily focus on the
integrity and the reliability of validating the resulting forensic
decisions accurately. Furthermore, digital evidences can be easily
tampered, altered, or forged to commit fraud, identity theft, or
impersonate someone else, to remain elusive from law enforcement.
Using image processing techniques, it is easy to tamper the original
image by replacing an individual's face, and making the change
difficult to detect. Image forensic techniques use natural properties
of image to determine forgery or locate tampering. In another example,
it is possible to determine whether an image is generated by a digital
camera, a cell-phone camera, or a computer by analyzing the image
properties and characteristics and comparing the statistics of various
digital devices.

With the rise of digital crime (signature forgery, image forgery,
illegal transaction, etc.) and the pressing need for methods to combat
these forms of criminal activities, there is an increasing awareness
of the importance of information forensics for security applications.
Fundamental areas of interest include attack models, cryptanalysis,
steganalysis, authentication, human identification, signal
classification, surveillance, transaction tracking, etc.

In many practical applications, the evidences collected from a crime
scene may be non-ideal due to poor quality or availability of partial
information. It is imperative for new research approaches to fuse
information from multiple evidences to make a forensic decision or
reliably classify as genuine or imposter.

In all these forensic applications, soft computing techniques such as
neural networks, fuzzy logic, evolutionary computing, and rough set,
play an important role in learning complex data structures and
patterns, and classifying them to make intelligent decisions. Soft
computing has been widely used in various applications, such as
machine vision, pattern detection, data segmentation, data mining,
adaptive control, biometrics, and information assurance. This special
issue aims to highlight state-of-the-art research and novel solutions
in information forensic applications using emerging soft computing
techniques.

Topics of interest

High quality review and technical research papers are solicited for
the special issue. The topics include but are not limited to the
following:

Algorithms: Bayesian learning, neural network, support vector machine,
genetic algorithms, rough sets, case based reasoning, fuzzy logic,
uncertainty principle, and other machine learning approaches.
Applications: Handwriting analysis, digital document examination,
image/video forgery detection, evidence source investigation, speaker
authentication, intelligent surveillance, biometrics, digital device
forensics, digital evidence retrieval, multi-mode human indexing,
digital transaction tracking, cryptanalysis and steganalysis, crime
prevention and prediction, information fusion, friction ridge
analysis, and other forensics applications.


Submission

Manuscripts must be prepared in accordance with the "Guide for
Authors" page at the journal website, http://www.springer.com/engineering/journal/500.
Further, the manuscript must be submitted in the form of PDF file to
one of the guest editors. The submission must include the title,
abstract of your paper, and the corresponding author's name and
affiliation. All papers will be rigorously reviewed based on
originality and high scientific quality. Manuscripts must be well
organized, clearly written with sufficient support for assertions and
conclusion.

International Journal of Soft Computing is indexed by Computer Science
Index, Current Contents, Ei Page One, Inspec, ISI Web of Science,
Journal Citation Reports-Science, Science Citation Index Expanded
(SCI-
E), SCOPUS, Zentralblatt Math, etc.

Important Dates

Submission deadline: December 20, 2008
First notification date: March 30, 2009
Revision due date: April 30, 2009
Second notification date: May 31, 2009
Camera-ready due: July 1, 2009

Guest Editors

Dr. Shiguo Lian
Human-Computer Interface (HCI) Lab
France Telecom R&D (Orange Labs) Beijing, China
E-mail: shigu...@orange-ftgroup.com

Prof. Gregory L. Heileman
Electrical & Computer Engineering Department
University of New Mexico, USA
E-mail: heil...@ece.unm.edu

Prof. Afzel Noore
Lane Department of Computer Science & Electrical Engineering
West Virginia University, USA
E-mail: afzel...@mail.wvu.edu
www.csee.wvu.edu/~noore
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