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CLOUDY (2012-2014) Secure and private distributed storage and publication in the future internet |
Principal Investigators :
- Dr. Claude Castelluccia, PRIVATICS project-team, Inria Grenoble Rhône Alpes
- Prof. Dawn Song, University of California Berkeley
- Prof. Gene Tsudik, University of California Irvine
Research objectives:
Scientific achievements:
- Password security: The work led to: (i) a novel password cracker based on Markov models; and (ii) investigating how additional personal information about a user helps in speeding up password guessing.
- New authentication schemes: The team studied a new type of knowledge-based authentication scheme MooneyAuth, which eases the high cognitive load of passwords. It is based on implicit visual memory and is a graphical authentication scheme, which requires users to recognize degraded two-tone images that contain a hidden object.
- Twitter privacy: The work explores linkability of tweets based on a very large corpus of tweets, and demonstrates that, at least for relatively active tweeters, linkability of tweets by the same author is easily attained even with a large number of tweeters.
Publications and Awards:
- 3 Conference & 1 Workshop papers.
Selected publication:
Follow up:
More about CLOUDY: http://planete.inrialpes.fr/cloudy-associated-team/