主讲人：Prof. Dr. Ouri Wolfson, University of Illinois at Chicago, USA
Intelligent Transportation Systems (ITS) have been researched and developed since the 1970's but their impact so far has been relatively small. In this talk I will argue that this is about to change and that these systems will soon revolutionize urban transportation. I will discuss novel applications that improve safety, mobility, environmental impact, and energy efficiency. The applications epitomize ITS efforts currently undertaken throughout the world, e.g., the IntelliDrive initiative of the US Department of Transportation. Focusing information management, I will argue that ranking is a fundamental operation in an environment where travelers and billions of sensors embedded in the infrastructure, in vehicles, and in portable devices generate vast amounts of data. Two ranking paradigms will be discussed, one using game theory and the other using machine learning. I will also relate these efforts to our NSF-sponsored IGERT PhD program in Computational Transportation Science.ct: Managing data is arguably one of the reasons for adopting cloud technologies. These technologies are very promising with respect to enhancing scalability, reducing costs, and rapidly adapting to changes in application demands. However the adoption of these technologies is not without risks. Data stored in a cloud would be accessible to a large variety of individuals, like the IT staff of the cloud providers. The cloud providers may in turn outsource data management functions to other providers. Data integrity and availability are critical issues. Physical protection, crucial for data security, may be difficult to assess for the organization owning the data as data may be stored in different countries, which makes difficult making inspections to the data storage location. In some cases, even being able to control the location of the data may be difficult. However, making sure that data is stored or not stored in certain locations is crucial for compliance. Data segregation is essential in the context of multi-tenant contexts in which data owned by different organizations may reside on the same systems. Support for disaster recovery, and accountability are also critical requirements. In the talk we will first elaborate on these issues. We will then present an overview of the MASK system, able to support fine-grained encryption of data while at the same time supporting identity-based privacy-preserving access control on encrypted data. We will conclude the presentation with a discussion about the notion of accountability policies and tools for managing security policies.
Ouri Wolfson, Ph.D., is the Richard and Loan Hill Professor of Computer Science at the University of Illinois at Chicago, and an Affiliate Professor in the Department of Computer Science at the University of Illinois at Urbana Champaign. He is the founder of Mobitrac, a venture-funded high-tech startup that was acquired by Fluensee Co. in 2006. Wolfson authored over 190 publications, and holds seven patents. He is a Fellow of the Association of Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Science (AAAS),a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and a University of Illinois Scholar. He co-authored three award winning papers, and participated in numerous conferences as a keynote speaker, general chairman, program committee chairman or member, tutorial presenter, session chairman, and panelist. Most recently he was the keynote speaker at the Mobilware 2010 Conference and at the 2012 Mobile Data Management Conference. Wolfson’s main research interests are in database systems, distributed systems, and mobile/pervasive computing. Before joining the University of Illinois he has been on the computer science faculty at the Technion, Columbia University, and at Bell Labs.