Name
Title | ||
|---|---|---|
Secured histories: computing group statistics on encrypted data while preserving individual privacy |
Abstract | ||
|---|---|---|
As sensors become ever more prevalent, more and more information will be
collected about each of us. A long-term research question is how best to
support beneficial analysis of such data while preserving individual privacy.
Awareness systems represent an emerging class of applications supporting both
business and social functions that leverage pervasive sensors to detect and
report end-user physical state, activities, and available communication
channels. To buy into the system, however, users must be able to control how
information about them is shared. We introduce "need to know" security in which
an individual has full access to her own data, a third party processes the data
without learning anything about the data values, and other users, such as
analysts, learn only the desired statistics. Our novel privacy mechanism for
time series data gives users a high level of control over their individual data
while allowing storage of data and computation of summary statistics to take
place on untrusted machines. The mechanism supports computation of simple
statistics across multiple users whose data have been encrypted under distinct
keys. We designed key structures and extensions to provide a family of
efficient non-interactive "need to know" protocols for time series data. We
implemented the mechanism and integrated it with MyUnity, a prototype awareness
system. |
Year | Venue | Keywords |
|---|---|---|
2010 | Clinical Orthopaedics and Related Research | access control,cloud computing,privacy,awareness,homo- morphic encryption,communication channels,time series data |
Field | DocType | Volume |
Time series,Leverage (finance),Research question,Computer science,Computer security,Cryptography,Communication channel,Third party,Encryption,Hierarchy | Journal | abs/1012.2 |
ISSN | Citations | PageRank |
SECOTS 2011 | 11 | 0.66 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eleanor Rieffel | 1 | 488 | 48.71 |
| Jacob Biehl | 2 | 499 | 29.56 |
| William Van Melle | 3 | 478 | 151.56 |
| Adam J. Lee | 4 | 49 | 6.51 |