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Devices That Tell On You: Privacy Trends in Consumer Ubiquitous Computing T. Scott Saponas Jonathan Lester Carl Hartung Sameer Agarwal Tadayoshi Kohno.

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Presentation on theme: "Devices That Tell On You: Privacy Trends in Consumer Ubiquitous Computing T. Scott Saponas Jonathan Lester Carl Hartung Sameer Agarwal Tadayoshi Kohno."— Presentation transcript:

1 Devices That Tell On You: Privacy Trends in Consumer Ubiquitous Computing T. Scott Saponas Jonathan Lester Carl Hartung Sameer Agarwal Tadayoshi Kohno August 8, 2007 16th USENIX Security Symposium

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3 Old Technology: Known Privacy Issues

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7 New Technology: “Unknown” Privacy Issues

8 RFIDEEG Gaminglarge displaysmobile sensing platforms wearablesHealth displayssmar t phonesambient displays New Technology: “Unknown” Privacy Issues

9 Nike+iPod Sport Kit Slingbox

10 unique identifier

11 spoofed MAC Alice Unwanted Music & Pictures Bob block Interesting Music & Pictures Bob

12 Strong Identifiers Weak Identifiers Tracking Location Evading Blocking

13 Slingbox Streams (encrypted) Media

14 Variable Data Rate Encoding Slingbox

15 Movie Fingerprint From Throughput 100 ms throughput5 sec throughput trace 1 trace 2 trace 3

16 Collected 26 Movies Traces

17 Throughput for Content Identification unaligned tracesaligned tracesaverage trace movie signature query query signature sliding window distance minimum distance

18 26 Movie Experiment Movie ABad Boys BBad Boys II CBourne Supremacy DBreak-Up EHarry Potter FHarry Potter III GIncredibles HMen in Black II IOcean's Eleven JShort Circuit KX2 LX-Men MAir Force One NBourne Identity OCaddy Shack PClueless QHappy Gilmore RJurassic Park S Nightmare Before Christmas TOffice Space URed October VAustin Powers WAustin Powers II XBruce Almighty YHurrican ZShort Circuit II best match Compare movie database 12… 50 ERROR

19 VBR Leaks Information 10 Min: 62% true positive (chance 4%) 40 Min: 77% true positive (chance 4%) 40 Min: 15 movies ≥ 98% true positive 10 Minute40 Minute

20 VBR Leaks Information Encryption is Not Enough – Traffic Analysis – Throughput Fingerprint Limitations – 26 movie library – Lab setting Extensions – Recognizing specific movies – Watermarking

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22 Thanks! Acknowledgements: Yaw Anokwa, Kate Everitt, Kevin Fu, J. Alex Halderman, Karl Koscher, Ed Lazowska, David Molnar, Fabian Monrose, Lincoln Ritter, Avi Rubin, Jason Schultz, Adam Stubblefield, Dan Wallach, and David Wetherall http://www.cs.washington.edu/research/security/usenix07devices.html ssaponas@cs.washington.edu T. Scott Saponas, Jonathan Lester, Carl Hartung, Sameer Agarwal, Tadayoshi Kohno


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