International Workshop on Security And Privacy Analytics - 2016
Friday, March 11, 2016
Co-located with ACM CODASPY 2016 http://www.codaspy.org/
New Orleans, USA

Increasingly, sophisticated techniques from machine learning, data
mining, statistics and natural language processing are being applied
to challenges in security and privacy fields. However, experts from
these areas have no medium where they can meet and exchange ideas so
that strong collaborations can emerge, and cross-fertilization of
these areas can occur. Moreover, current courses and curricula in
security do not sufficiently emphasize background in these areas and
students in security and privacy are not emerging with deep knowledge
of these topics. Hence, we propose a workshop that will address the
research and development efforts in which analytical techniques from
machine learning, data mining, natural language processing and
statistics are applied to solve security and privacy challenges
("security analytics"). Submissions of papers related to methodology,
design, techniques and new directions for security and privacy that
make significant use of machine learning, data mining, statistics or
natural language processing are welcome. Furthermore, submissions on
educational topics and systems in the field of security analytics are
also highly encouraged.

Important Dates
Paper Submission

http://capex.cs.uh.edu/?q=content/iwspa-2016-paper-submission-site

Submit your papers using the EasyChair Submission Website
Deadline: December 4, 2015, 11.59pm CDT (Firm deadline);
Acceptance Notification: December 18, 2015;
Camera Ready: January 8, 2016.
Workshop Keynote speaker: Anita Nikolich, National Science Foundation

Formatting of the paper should follow ACM CODASPY conference
guidelines, but the page limits in the Workshop Call for Papers apply.

The proceedings of IWSPA 2016 will be available in the ACM Digital Library.