cific classes of users, SO they can quickly set their own preferences on personal computers or mobile phones. "Bell Labs' technology would give end users more explicit control over how their network data is interpreted and shared with different requestors of loca- tion information in near real time," says Rick Hull, director of network data and services research at Bell Labs. "By offering powerful personalization capabilities, network operators can roll out new revenue-generating location services that also cater to the varying privacy needs and desires of different classes of users." Service providers have generally acknowledged that having a policy engine to enforce privacy of user location information is a must-have capability. At the writing of this book, commercial trials of the PCP framework are being discussed with several carriers, and the "Houdini" rules engine is already being used by Lucent in prototype demonstrations of context-aware location- THE UNBLINKING EYE-SECURITY AND SURVEILLANCE based services on mobile devices, as well as in preferences-driven call for- warding and blocking using both circuit-based and session initiation protocol (SIP) phones. 7.3 SECURING PRIVACY As more smart phone, PDA, and PC users connect to servers in order to par- ticipate in shopping, banking, investing, and other Internet activities, a growing amount of personal information is being sent into cyberspace. Furthermore, every day, businesses and government agencies accumulate increasing amounts of sensitive data. Despite advances in cryptology, security, database systems, and database mining, no comprehensive infrastructure exists for han- dling sensitive data over their lifetimes. Even more troubling, no widespread social agreement exists about the rights and responsibilities of data subjects, data owners, and data users in a networked world. Now, collaborators in a new NSF project aim to bring order to the chaotic world of personal data rights and responsibilities. The privacy project's goal is to invent and build to