DMCS - Data Mining for Cyber Security

A workshop organized in association with ICDMí2016

December 12, 2016 Barcelona


Call for papers


Workshop Description


Computer and communication systems are subject to repeated security attacks. Given the variety of new vulnerabilities discovered every day, the introduction of new attack schemes, and the ever-expanding use of the Internet, it is not surprising that the field of computer and network security has grown and evolved significantly in recent years. Attacks are so pervasive nowadays that many firms, especially large financial institutions, spend over 10% of their total information and communication technology (ICT) budget directly on computer and network security. Changes in the type of attacks, such as the use of Advanced Persistent Threat (APT) and the identification of new vulnerabilities have resulted in a highly dynamic threat landscape that is unamenable to traditional security approaches.


Data mining techniques that explore data in order to discover hidden patterns and develop predictive models, have proven to be effective in tackling the aforementioned information security challenges. In recent years classification, associations rules, and clustering mechanisms, have all been used to discover and generalize attack patterns in order to develop powerful solutions for coping with the latest threats such as: APTs, Ransomware, data leakage, and malicious code (Trojan, Worms and computer viruses).


Focusing on the theoretical and practical aspects of data mining for enhancing information security, this workshop provides an opportunity to present and discuss the latest theoretical advances and real-world applications in this research field. Manuscripts are solicited to address a wide range of topics in this area, including but not limited to:


-       Data mining for intrusion detection and prevention

-       Data mining for fraud detection and prevention

-       Monitoring Network Security

-       One-class based anomaly detection

-       Data Stream Mining for Security

-       Deep Learning for cyber security

-       Big Data architectures for network security

-       Identify theft detection and prevention

-       Evaluating data mining approaches to security

-       Adversarial Machine Learning

-       Detecting data and information leakage using data mining techniques

-       Detecting malicious code using data mining techniques


Key dates:

        August 12, 2016:Due date for full workshop papers

        September 13, 2016:Notification of workshop papers acceptance to authors

        September 20, 2016:Camera-ready deadline for accepted papers

        December 12, 2016:Workshop date


Submission Instructions:

Submissions will be managed through the IEEE ICDM CyberChair system. Please submit your papers at the following website:


Our workshop is Workshop 7, entitled: Data Mining for Cyber Security (DMCS)


The page limit of workshop papers is 8 pages in the standard IEEE 2-column format,

including the bibliography and any possible appendices.


        All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2016 submission guidelines available at

        Papers should be submitted in PDF format, electronically, using the CyberChair submission system.




Accepted papers will be included in the IEEE ICDM 2016 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. The workshop proceedings will be in a CD separated from the CD of the main conference. The CD is produced by IEEE Conference Publishing Services (CPS). Every workshop paper must have at least one paid registration in order to be published.



Organizing Committee:



Program Co-Chairs:


Nathalie Japkowicz, University of Ottawa


Yuval Elovici, Ben Gurion University


Preliminary Program Committee:

Rami Abielmona, Larus Technologies

David Bissessar, Canada Border Services Agency

Philippe Chan, Florida Institute of Technology

Ben Edwards, University of New Mexico

Rafael Falcon, Larus Technologies

Sylvain Leblanc, Royal Military College of Canada

Qiang Ma, Yahoo!

Robert Moskovitch, Ben Gurion University and Columbia University

Alina Oprea, RSA

Lior Rokach, Ben Gurion University

Reginald Sawilla, NATO

Anil W. Somayaji, Carleton University

William W. Streilein, MIT

Nan Zhang, George Washington University

Nur Zincir-Heywood, Dalhousie University