Jedidiah R. Crandall
Associate Professor, University of New Mexico, Department of Computer Science
Ph.D., Computer Science, University of California at Davis, 2007 (thesis)
B.S., Computer Science, Embry-Riddle Aeronautical University, 2002
The principle that guides my research is this: it shouldn't be so easy for
those who control the Internet to exercise censorship and surveillance without
My research group develops cutting-edge techniques for
inferring what's really going on on the Internet and in software that connects
to the Internet. Some of our recent work includes:
- The netalert.me project, which is a joint effort
between Open Effect, the Citizen Lab, and the University of New Mexico, the
goal of which is to make Internet security and privacy research accessible to
regular users (especially at-risk populations such as activists and journalists).
- Methods for measuring Internet cenorship between any two machines in the world, such as one method you can read about in the extended version of our PAM 2014 paper. You can also see demo versions
of some of the network inference techniques we're working on at http://spookyscan.cs.unm.edu.
- A look at Weibo censorship, described in this
USENIX Security 2013 paper.
- Identifying threats to online freedom, such as man-in-the-middle attacks on third-party software updates or side channels that allow off-path traffic analysis. The latter led to a Linux kernel patch. Regarding the former, we're working on a novel dynamic information flow tracking technique to do things like find cryptographic keys (hint: the yellowist and redist part is the key).
- Documenting censorship and surveillance that is baked into software. See this
paper that is joint work with the Citizen Lab at the University of Toronto, for example. You can see the analysis and get the raw data at https://china-chats.net.
- New educational technologies, such as this game that we developed for teaching students about side channels and information flow.
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