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Proceedings of the 2016 ACM on International Workshop on Security And Privacy Analytics (IWSPA '16)
| Content Provider | ACM Digital Library |
|---|---|
| Editor | Huang, Stephen Ordonez, Carlos Leiss, Ernst Rusinowitch, Michael Verma, Rakesh M. Ghemri, Lila Verma, Rakesh |
| Copyright Year | 2016 |
| Abstract | It is our great pleasure to welcome you to the 2016 ACM International Workshop on Security and Privacy Analytics -- IWSPA '16. This year's workshop is the second in the series and continues the tradition of being the premier forum for presentation of research results and experience reports on leading edge issues and applications of data analytics (by which we mean techniques drawn from data mining, machine learning, statistics and natural language processing) to security challenges. Use of data analytics also has implications on privacy. Because of these reasons, the first international workshop on security and privacy analytics was organized in 2015. The mission of the workshop is to create a forum for interaction between data analytics and security/privacy experts and to examine the questions raised in the 1st workshop. The call for papers attracted 20 submissions from Asia, Canada, Europe, and the United States. Each paper was assigned to three program committee members for review, a total of 54 reviews were obtained with no paper having fewer than two reviews. Six papers were accepted for presentation as full papers (8 page limit) and three were accepted as short papers (6 page limit). We also encourage attendees to attend the three keynotes, the educational session and the industrial session presentations. For the first time, the workshop includes an industrial session, and an educational session with poster presentations on educational modules. These insightful talks should provide rich fodder for your own investigations and help in shaping the future of security and privacy analytics: Security Analytics in the Context of Adversarial Machine Learning, Douglas Tygar (University of California -- Berkeley) How Can We Enable Privacy in an Age of Big Data Analytics? Carl Landwehr (George Washington University and LeMoyne College) The Research Challenges of SDN Networks, Anita Nikolich (National Science Foundation) -- joint with CODASPY 2016 Data Driven Data Center Network Security, Vimalkumar Jeyakumar (Cisco); Ali Parandehgheibi (Cisco); Omid Madani (Cisco); Navindra Yadav (Cisco) -- industrial session Modules on Security and Privacy Analytics1 (educational session) Data Mining, Machine Learning and Natural Language Processing for Security, Rakesh Verma (University of Houston) Statistics for Security, Wenyaw Chan (UT Health Science Center -- Houston) Intrusion Detection, Stephen Huang (University of Houston) Privacy Preservation in Data Mining, Lila Ghemri (Texas Southern University) Internet Crime, Electronic Voting, Digital Content Protection, Ernst Leiss (University of Houston) Privacy Issues in Social Networks, Carlos Ordonez (University of Houston). |
| ISBN | 9781450340779 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-03-11 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Conference Proceedings |
