ACM CODASPY 2016
2nd ACM International Workshop on Security and Privacy Analytics
Friday, March 11, 2016
Co-located with ACM CODASPY 2016 at 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.
Short Submission Guidelines:
Papers must be at most 8 pages in length with at least 10 point font size and 1 inch margins all around. All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal. All papers must be submitted electronically via the Easychair system.
Submit your papers using the EasyChair Submission Website
December 1, 2015, 11.59pm CST (Firm deadline)
Extended Deadline: December 4, 2015, 11:59pm CST (FIRM)
Acceptance Notification: December 18, 2015;
January 8, 2016 January 20,2016.
The proceedings of IWSPA 2016 will be available in the ACM Digital Library.
Details on the workshop schedule and committees are available below.
Invited Keynote speakers:
|Carl Landwehr||Doug Tygar||Anita Nikolich|
|How Can We Enable Privacy in an Age of Big Data Analytics?||Security Analytics in the Context of Adversarial Machine Learning||The Research Challenges of SDN|
|George Washington University and LeMoyne College||University of California - Berkeley||National Science Foundation|
Title: Data Driven Data Center Network Security
Speakers: Vimalkumar Jeyakumar (Cisco); Ali Parandehgheibi (Cisco); Omid Madani (Cisco); Navindra Yadav (Cisco)
The links to the Videos of the IWSPA 2016 Keynote Sessions:
Description of the Keynote:
Topic: How Can We Enable Privacy in an Age of Big Data Analytics?
Speaker: Carl Landwehr, George Washington University and LeMoyne College