Abstract: There is an increasing capability to provide detailed information about movements and activities of individuals due to the proliferation of networked mobile devices, transactions, and sensor systems. The data generated in this way has privacy and security dimensions that must be negotiated to achieve the optimal benefits. In this talk I will discuss some of the tensions associated with this trend with respect to a pair of case studies. The first of these concerns the use of sensor data from 'smart' buildings to assist enterprise workflow. The second concerns the collection of medical data from monitoring patients in their homes through the use of networked devices. The goal in each case is to explore practical approaches that respect privacy while improving efficiency. At the end I will discuss some preliminary results we have obtained from surveys concerning attitudes about balancing safety with security through monitoring and surveillance.

Short Bio: Carl A. Gunter is a Professor of Computer Science at the University of Illinois Urbana-Champaign. He is the director
of Illinois Security Lab and does research in security, networks, software engineering, and programming languages.
He is known for contributions on the semantics of functional and object oriented programming languages, techniques for formal analysis of network protocols, the design of active networks, and languages and models for security. His recent work includes projects on privacy, security for critical infrastructure, models and counter-measures for DoS, protocols for discovery and configuration of security gateways, security and software engineering considerations for assisted living, and architectures for messaging based on web services.