Machine Learning in Information and Network Security

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2015 International Conference on Robot, Vision and Signal Processing –
(RVSP 2015)
November 18-20, 2015, Kaohsiung, Taiwan
Call for Paper
SPECIAL SESSION:
Machine Learning in Information and Network Security
Recent developments in information and communication technologies require
secure accessing, processing, storing, and sharing information in electronic
environments. The importance of information and network security increases
all the time in diversity as well as in quantity because of continuous threats
encountered in many new forms on internet and systems. In order to secure
information and network, new approaches, methods, techniques, technologies
and concepts are always required.
Advances in Machine Learning (ML) provide new challenges and solutions to
the security problems encountered in applications, technologies and theories.
Machine Learning (ML) techniques have found widespread applications and
implementations in security issues. Many ML techniques, approaches,
algorithms, methods and tools are extensively used by security experts and
researchers to achieve better results and to design robust systems.
The aim of this special session on Information and Network Security Issues is
to:
 share the current and new research topics.
 bring researchers and experts together to discuss and share their
experiences,
 enhance personal, enterprise, national and international awareness,
 increase the collaboration among university – industry - institutions,
in applications of ML methods to the information and network security fields.
Important Dates:
Deadline for paper submission: July 30th, 2015
Notification of acceptance: August 15st, 2015
Deadline for camera-ready manuscript submission: August 31st, 2015.
Papers are invited from prospective authors with interests in this special
session and related areas of application. All contributions should be original
and not published elsewhere or intended to be published during the review
period. Contributions from applied related fields industry and commerce are
very welcome. Details of the required paper format are available at the
RVSP2015 website (http://bit.kuas.edu.tw/~rvsp15/).
For further information, please contact Special Session Organizers:
Prof. Jen Chun Lee ([email protected])
Department of Electrical Engineering, Chinese Naval Academy, Taiwan
Prof. Chien-Ping Chang ([email protected])
Department of Computer Science and Information Engineering, Chien
Hsin University of Science and Technology, Taiwan
Prof. Po-Ruey Lei ([email protected])
Department of Electrical Engineering, Chinese Naval Academy, Taiwan
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