[bull-ia] Special Issue on Intelligent Industrial Digital Forensics and Biocybernetics: Practices and Challenges »


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Issue on « Intelligent Industrial Digital Forensics and
Biocybernetics: Practices and Challenges »

in Pattern Recognition Letters journal


Digital forensic methodologies are widely used in industries to
ensure authentication of multimedia data. Biocybernetics has
emerged as a tool to secure systems from cyber threats via
biometric based processes. Jointly, digital forensics and
biocybernetics can ensure support system for high level
security. The mechanisms of digital forensics and biocybernetic
technologies presently need human expert interference, and
cannot perform in automated way. Thereby these processes cannot
be suited for in large scale industrial need in their present
form. Hence a lot of research has been conducted in this domain
during last few years, mostly all studies yielding sub-optimal
solutions, which still encourages current researchers to conduct
further research in this area.
This special issue solicits original research articles,
extensive reviews, and case studies in the aforementioned field
of research.

Topics include, but are not limited to:
– Digital Forensic techniques applicable to large scale systems

– Biocybernetic architecture management
– Biosignal processing and biosensing systems
– Brain-human-interface
– Knowledge sharing systems for forensic analysis
– Biocybernetic surveillance in industry
– Anti-pattern search for biocybernetic spoofing
– Biometric technologies for large scale industry
– Industrial biometric data management
– Parallel and distributed processing of forensic data
– Cybercrime detection and mitigation
– Uberveillance technologies for smart industry
– Standards and protocols for industrial forensics

Important dates:
Submission period: 1-31 March 2019
Submission deadline: 31 March 2019
First review notification: 1 June 2019
Revision submission: 1 August 2019
Second review notification: 1 September 2019
Final notification to authors: 30 September 2019
Online publication: October 2019

Submission Guidelines:
All submissions have to be prepared according to the Guide for
Authors as published in the Journal Web Site at http://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors.

Submissions should be sent through http://ees.elsevier.com/prletters/.
Authors should select the acronym « VSI:IIDFB-PC » as the article
type, from the « Choose Article Type » pull-down menu during the
submission process.

The maximal length of a paper is 7 pages in the PRLetters layout
and may become 8 in the revised version if referees explicitly
request significant additions.

The submitted papers should not have been previously published
or be under consideration for publication elsewhere. If one
submission is the extended work of one conference paper, the
original work should be included and a description of the
changes should be provided.

The PRLetters submission should include at least 30% new
contribution of high relevance (more experiments, proofs of
theorems not included in the conference paper, more comparisons
with other methods in the literature and so on); and the title
of the PRLetters paper should be different, the same figures
cannot be used and the common part of the conference paper and
of the extended version cannot be verbatim the same.

Review Process:
The review process will follow the standard PRLetters scheme.
Each paper will be reviewed by at least two referees and that,
in general, only two reviewing rounds will be possible, out of
which major revision is possible for the first reviewing round.
Submissions will probably being rejected if major revision is
still required after the second reviewing round.

Guest Editors:
Asso. Prof., Dr., Larbi Boubchir (Managing Guest Editor)
University of Paris 8, France
E-mail: larbi.boubchir@ai.univ-paris8.fr

Prof. Abdesselam Bouzerdoum
University of Wollongong, NSW, Australia
E-mail: a.bouzerdoum@uow.edu.au

Prof. Esma Aïmeur
University of Montreal, Montreal, Canada
E-mail: aimeur@iro.umontreal.ca

Dr. Abdenour Hadid
University of Oulu, Finland
E-mail: hadid.abdenour@oulu.fi

Dr. Sambit Bakshi
National Institute of Technology Rourkela, India
E-mail: bakshisambit@nitrkl.ac.in

Larbi Boubchir, PhD,
Associate Professor

LIASD – University of
Paris 8
2 rue de la Liberté,
93526 Saint-Denis, France
Tel. (+33) 1 49 40 67
Email. larbi.boubchir@ai.univ-paris8.fr