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Please accept our apologies if you receive multiple copies of this Call for Papers.

Security and Communication Networks Journal
John Wiley & Sons, Ltd.
Special Issue on “Applications of Machine Learning Techniques on Intrusion Detection and Digital Forensics”


The security of computers and their networks is a major concern. As the computing devices become more pervasive and connected (such as from personal computer running a simple desktop application to embedded systems controlling a critical infrastructure), they face versatile and unknown threats ranging from sophisticated malwares, to less prevalent but still serious attacks like Web site defacement, denial of service attacks, financial fraud and network break-ins. They are both critical and costly and required to be detected in-time. The detection of intrusions often leads to the forensic investigation requiring the acquisition of massive volume of data and their analysis. The manual effort to deal with the problems is costly and time consuming and thus, brings the need of machine learning techniques that are often used to efficiently and reliably perform this labour intensive work.


In this special issue, we plan to present the cutting edge research focusing on intrusion detection and digital forensics with the application of machine learning techniques. The Journal is soliciting submissions based on an open call for papers covering areas that are included but not limited to the following,


Detection of known or unknown exploitable vulnerabilities,
Detection of known or unknown attacks,
Deception systems and honeypots,
Smart phone and Digital Forensics,
Network and host intrusion detection
Anomaly and specification-based approaches
Application security
Spam, botnets, viruses, malwares
Web security
Log analysis
Forensic analysis of large datasets
Online forensic analysis
Forensic analysis of social networks
3D forensic scene model generation and analysis
Network forensics
Data acquisition



We solicit previously unpublished, original research papers. The conference papers with significant improvement will also be considered, provided that authors have clearly identify the improvements in the paper and also highlight the changes to their previous paper.


The guidelines for prospective authors can be found http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1939-0122/homepage/ForAuthors.html. Prospective authors should submit their papers online at http://mc.manuscriptcentral.com/scn and no email submissions will be accepted. When submitting the papers, the authors should make sure to choose ‘‘Manuscript type’’ as ‘‘Special Issue,’’ in the Journal's Manuscript Central website, and enter ‘Running Head’ and ‘Special Issue title’ as ‘SCN-SI-038’ and ‘Machine Learning’, respectively.



Submission deadline: 15 August 2011 15 September 2011 (Extended)
Acceptance notification: 30 December 2011
Final papers due: 15 February 2012

Publication: 2012 (Tentative)


Dr. Ajith Abraham
Centre for Quantifiable Quality of Service in Communication Systems,
Norwegian Centre of Excellence,
Norwegian University of Science and Technology, Norway


A/Prof. Anjali Sardana
Department of Electronics and Computer Engineering
Indian Institute of Technology
Roorkee, India


Prof. ManPyo Hong
Graduate School of Information and Communication
Ajou University,
Suwon, South Korea


Dr. Irfan Ahmed
Information Security Institute,
Queensland University of Technology
Brisbane, Australia


Dr. Rafael Accorsi
 Department of Telematics,
University of Freiburg,