BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Privacy preserving smart-metering - George Danezis\, Microsoft Res
 earch
DTSTART:20101109T161500Z
DTEND:20101109T171500Z
UID:TALK27782@talks.cam.ac.uk
CONTACT:Wei Ming Khoo
DESCRIPTION:Metering consumption and billing has been a traditional reason
  to collect\, process and store detailed records. Proposed business models
  and government practices\, such as electronic road tolling\, pay-as-you-d
 rive-insurance\, smart-grids for electricity and even virtualised computin
 g and storage\, rely on charging users using even more fine grained inform
 ation than ever before for their usage and consumption. This is at odds wi
 th the privacy consumers have been accustomed to. Current implementation p
 roposals require huge databases of personal information to be built -- we 
 show that these are not necessary.\n\nWe present protocols for metering an
 d fine grained billing that do not require the collection\, processing or 
 storage of personal information. We focus on the example of smart-grids to
  show how meter readings can be cryptographically transformed by users' de
 vices to apply a tariff policy\, and produce a bill for the utility compan
 ies. Using Zero-knowledge techniques our protocols perfectly hide all priv
 acy sensitive information\, while protecting the integrity of the bills. W
 e also discuss practical deployment issues and 3 implementations providing
  different trade-offs in speed\, scalability and software correctness.
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Building
END:VEVENT
END:VCALENDAR