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{{Event 
|Acronym=DMCS  2017 
|Title=DMCS   2017 : DMCS - Data Mining for Cyber Security 2017 (collocated with IEEE ICDM'17) 
|Type=Conference 
|Field=security
|Start date=2017/11/18T12:00:00
|End date=2017/11/18T12:00:00 
|City=New Orleans 
|Country=United States
|Homepage=http://www.site.uottawa.ca/~nat/DMCS2017/
|Submission deadline=2017/08/07T12:00:00
}}

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 is a continuation of last year’s DMCS
workshop held at ICDM’2016 in Barcelona which paved the way to a special issue
on Data Mining for Cyber Security at IEEE’s Intelligent Systems Journal (in
preparation). The 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
- Detecting compromised IoT devices
- Detecting malicious documents
- Detecting security threats in social networks

KEY DATES

- Workshop paper submission: August 7, 2017
- Workshop paper notifications: September 4, 2017
- Camera ready submissions: September 15, 2017
- Workshop date: November 18, 2017

SUBMISSION INSTRUCTIONS

Submissions will be managed through the IEEE ICDM CyberChair system. Please
submit your papers at the following website
https://wi-lab.com/cyberchair/2017/icdm17/scripts/ws_submit.php?subarea=SP


Our workshop is Workshop 13, entitled: Data Mining for Cyber Security II (DMCS)

Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE
2-column format (link), including the bibliography and any possible appendices.
Submissions longer than 10 pages will be rejected without review. Papers should
be submitted in PDF format, electronically, using the CyberChair submission
system.

PUBLICATION

Accepted papers will be included in the IEEE ICDM 2017 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.

INVITED SPEAKER

Salvatore Stolfo (Columbia University, USA)

PROGRAM CO-CHAIRS

Nathalie Japkowicz, University of Ottawa
nat@site.uottawa.ca

Yuval Elovici, Ben Gurion University
elovici@bgu.ac.il
Acronym	DMCS 2017 +
End date	12:00:00, 18 November 2017 +
Event type	Conference +
Has coordinates	29° 57' 0", -90° 4' 12"Latitude: 29.949933333333 Longitude: -90.070116666667 +
Has location city	New Orleans +
Has location country	Category:USA +
Homepage	http://www.site.uottawa.ca/~nat/DMCS2017/ +
IsA	Event +
Start date	12:00:00, 18 November 2017 +
Submission deadline	12:00:00, 7 August 2017 +
Title	DMCS 2017 : DMCS - Data Mining for Cyber Security 2017 (collocated with IEEE ICDM'17) +