Please join us Thursday, March 7, at noon, for the next CACR Security Seminar of this series.
(Beginning at 11:45 am, pizza and soft drinks will be available at the Bloomington and Indianapolis locations for attendees.)
If you cannot attend in person, view the live stream at URL: http://www.indiana.edu/~video/stream/liveflash.html?filename=CACR_Security_Speaker
Guoliang Xue, Arizona St. University
School of Computing, Informatics, and Decision Systems Engineering
Arizona State University
TITLE: Crowdsourcing to Smart Phones and Related Authentication Issues
More and more people are adapting to smart phones, which are lightweight and provide extensive communication, computation, and sensing capabilities. These features make smart phones ideal for crowdsourcing, which is a new computing paradigm for human centric computing with collective intelligence.
There are two challenges in crowdsourcing to smart phones. The first challenge is the need for an appropriate incentive mechanism, which can provide incentives for smart phone users to participate in crowdsourcing. The second challenge is the related security and privacy issues. To address the first challenge, we design incentive mechanisms for mobile phone sensing.
We consider two system models: the platform-centric model where the platform provides a reward shared by participating users, and the user-centric model where users have more control over the payment they will receive. For the platform-centric model, we design an incentive mechanism using a Stackelberg game, where the platform is the leader while the users are the followers. We show how to compute the unique Stackelberg Equilibrium, at which the utility of the platform is maximized. For the user-centric model, we design an auction-based incentive mechanism, which is computationally efficient, individually rational, profitable, and truthful. To address the second challenge, we design a biometric based un-observable re-authentication scheme for smart phones.
Our scheme uses the sensors within the smart phones to capture the gestures of finger movement of the user of the smart phone. These gestures are used to decide whether the current user of the smart phone is the owner of the smart phone or not. Besides discussing what we know, this talk will also address many important open research issues in this area.
Guoliang (Larry) Xue is a Professor of Computer Science and Engineering at Arizona State University. He earned a PhD degree in Computer Science from the University of Minnesota in 1991. His research interests include survivability and security issues in networking, quality of service provisioning, and human centric computing with collective intelligence. He has published over 200 refereed papers in these areas, including over 100 journal papers. He serves on the editorial boards of IEEE/ACM Transactions on Networking and IEEE Network Magazine. He served as a TPC co-chair of IEEE INFOCOM’2010 and is a member of the INFOCOM Standing Committee. He was Keynote Speaker at IEEE LCN’2011. He is a recipient of Best Paper Awards at IEEE ICC’2012 and IEEE MASS’2011, as well as a Best Paper Runner-up at IEEE ICNP’2010. He was an IEEE Communications Society Distinguished Lecturer from January 2010 to December 2011. He is an IEEE Fellow.
SEMINAR LOCATIONS --
Professor Xue will be speaking from Room IT 497 of the Informatics & Communications Technologies Complex (ICTC). ICTC is located at the corner of West Street & Michigan Avenue.
IUPUI campus map: http://www.iupui.edu/misc/campusmap.htm
Via video-conference -- this talk will be streamed to Room LW 335 of the Maurer School of Law which is located at the corner of Third Street and Indiana Avenue.
IUB campus map: go to: http://www.iub.edu find “campus info” and click on “campus map”