DocumentCode :
1873167
Title :
Secure collaboration using Slepian-Wolf codes
Author :
He, Dake ; Jagmohan, Ashish ; Lu, Ligang
Author_Institution :
IBM T. J. Watson Res., Yorktown Heights, NY
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
2216
Lastpage :
2219
Abstract :
The problem of secure collaboration between two agents, A and B, with limited mutual trust is considered. Specifically, we consider a formulation wherein agent A would like to share information with agent B but only if B has correlated information. Our solution is based on the principles of source coding with decoder-only side information. The key idea is that agent A can encode its information by using a Slepian-Wolf code at a rate which enables agent B to correctly decode only if the information which B has satisfies a conditional entropy constraint. Furthermore, our solution allows the two agents to interact and negotiate the rate on the fly. It is shown that such interaction not only reduces the transmission rate, but also allows secure collaboration to be established even when neither agent knows the joint statistics of their information. Finally, we demonstrate the utility of our solution in a simple medical imaging application.
Keywords :
biomedical imaging; entropy; source coding; statistics; Slepian-Wolf codes; conditional entropy constraint; correlated information; decoder-only side information; joint statistics; medical imaging application; secure collaboration; source coding; Authentication; Biomedical imaging; Collaboration; Collaborative work; Computed tomography; Cryptography; Decoding; Helium; Random variables; Source coding; Secure collaboration; Slepian-Wolf coding; distributed source coding; interactive decoding; medical imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2008.4712230
Filename :
4712230
Link To Document :
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