@misc{shin:senseright,
    author = {Minho Shin and Cory Cornelius and Dan Peebles and Patrick Tsang and
Apu Kapadia and David Kotz},
    title = {{SenseRight}: Reliable People-Centric Sensing with Unreliable
Participants},
    year = {2008},
    month = {August},
    publisher = {ACM Press},
    copyright = {the authors},
    howpublished = {Submitted to INFOCOM 2009},
    keyword = {mobile computing, sensor network, pervasive computing, security,
privacy, anonymity, urban sensing, ubicomp, dfk},
    abstract = {As sensor technology becomes increasingly easy to integrate into
personal devices such as mobile phones, clothing, and athletic equipment,
there will be new applications involving opportunistic, people-centric
sensing. These applications, which gather information about human activities
and personal social context, raise many security and privacy challenges.
Although some recent work addresses privacy in people-centric sensing
systems, the mechanisms designed to provide anonymity limit the potential for
accountability. Since data integrity is important for many applications,
whether using traffic data for city planning or medical data for diagnosis,
we focus on the challenge of providing integrity along with confidentiality,
privacy, and anonymity. \par We propose SenseRight, the first architecture
for high-integrity people-centric sensing. The SenseRight approach assures
integrity of both the sensor data (through use of tamper-resistant sensor
devices) and the sensor context (through a time-constrained protocol), while
maintaining anonymity when desired. We demonstrate a prototype application
using motes and a Nokia N800 tablet device, and show that our approach makes
efficient use of resources (bandwidth and energy) and results in acceptable
latency for realistic applications.}
}