Title: Privacy-preserving Analytics in the Big Data environment
Abstract: In the current digital age, data is continually being collected by organizations and governments alike. While the goal is to use this data to derive insight and improve services, the ubiquitous collection and analysis of data creates a threat to privacy. Furthermore, the digitization and centralization of data creates attractive targets for cyber criminals, with security breaches harming both individuals and organizations. In this talk, we present a vision for how privacy-preserving analytics can be done in the big data environment which will require a combination of technological advances to ensure both process and output privacy as well as socio-cognitive approaches to ensure the widespread use and deployment of such work.
Biography: Jaideep Vaidya is a Professor in the MSIS Department at Rutgers University. He received the B.E. degree in Computer Engineering from the University of Mumbai, the M.S. and Ph.D. degree in Computer Science from Purdue University. His general area of research is in security, privacy, data mining, and data management. He has published over 170 technical papers in peer-reviewed journals and conference proceedings, and has received several best paper awards from the premier conferences in data mining, databases, digital government, security, and informatics. He is an ACM Distinguished Scientist, and is the Editor in Chief of the IEEE Transactions on Dependable and Secure Computing.
