A workshop organized in association with ICDM’2017 November 18, 2017 New Orleans, USA
The most notable achievement for big data is the development of large-scale machine learning, such as deep learning, reinforcement learning, etc. Cybersecurity is becoming an increasingly important problem with the ubiquity of the Internet nowadays. It is intriguing and practically significant to establish the degree to which modern machine learning can contribute to cybersecurity. There are already several tasks in cyber systems, which can be resolved by conventional machine learning techniques such as optimal thresholding in identifying malicious attacks. Recently, the rapid adoption of deep learning shed new light on cybersecurity problems with novel problem formulations and novel weapons to existing problems, which include:
a) Adaptive Defense in Information Systems
b) End-to-end Cyber Defense
c) Smart Decision-making for Vulnerability Assessment
d) Sequential Planning for Next-Generation Intrusion Detection and Response
August 7, 2017: Due date for full workshop papers
September 7, 2017: Notification of workshop papers acceptance to authors
September 15, 2017: Camera-ready deadline for accepted papers
November 18, 2017: Workshop date
Please send your manuscript to both of the following two emails:
boliu@auburn.edu
yewang@auburn.edu
We will send you a confirmation email after we receive it.
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.
Chengcui Zhang (University of Alabama at Birmingham)
Thamar Solorio (University of Houston)
Hongbo Liu (Indiana University-Purdue University)
Tongping Liu (University of Texas at San Antonio)
Bo Liu (Auburn University)
Ji Liu (University of Rochester)
Qi Wang (Northwestern Polytechnical University, China)
Anthony Skjellum (Auburn University)
Saad Biaz (Auburn University)
Tongping Liu (University of Texas at San Antonio)
Chongjie Zhang (Tsinghua University, China)
Note that the workshop presentations will run in a joint session “Data Mining in Cyber” with the workshop “Machine Learning in Cyber” focusing on theoretical machine learning aspects for cyber security.