Intelligent Industrial Digital Forensics and Biocybernetics: Practices and Challenges

Motivations:
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