Mathematics of Data Analysis in Cybersecurity
(October 2224, 2014)
The goal of this workshop is to bring mathematicians and cybersecurity practitioners together to outline the key challenges in the mathematics of cybersecurity data analysis. The expected outcome of the workshop will be a roadmap for investment in specific mathematical topics that will directly impact the advancement of the science of cybersecurity.
Mathematicians have long been involved in information security through cryptography, and thus algebra and number theory. But modern cyber security is a much larger field, and the perspectives and methodologies of other parts of the mathematical sciences have been only rarely been brought to bear. Given the complexity and dynamics of cyberspace it is essential to have a formal scientific basis for the field of cybersecurity. Indeed, a variety of sources have called for the creation of a "science of cybersecurity", and mathematical methods should play a critical role in such a science.
The purpose of this workshop is to bring together mathematical scientists and cybersecurity practitioners with expertise in several main areas, including especially high dimensional data analysis and cryptography, to establish a road map for bringing more mathematicians into the field of cybersecurity. Sharing our visions of near and far term goals of the field will be the highlight of the conference.
Organizing Committee
 Edo Airoldi
(Harvard University)  Paul Barford
(University of Wisconsin)  Henry Cohn
(Microsoft)  John Harer
(Duke University)  John Johnson
(Pacific Northwest National Laboratory)  Mauro Maggioni
(Duke University)  Jill Pipher
(ICERM)


