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Probabilistic event resolution with the pairwise random protocol
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International Workshop on Network and Operating System Support for Digital Audio and Video archive
Proceedings of the 18th international workshop on Network and operating systems support for digital audio and video table of contents
Williamsburg, VA, USA
SESSION: Virtual environments and games table of contents
Pages 67-72  
Year of Publication: 2009
ISBN:978-1-60558-433-1
Authors
John L. Miller  Microsoft Research, Cambridge, Cambridge, United Kingdom
Jon Crowcroft  Cambridge University, Cambridge, United Kingdom
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Peer-to-peer distributed virtual environments (DVE's) distribute state tracking and state transitions. Many DVE's - such as online games - require ways to fairly determine the outcome of probabilistic events. While trivial when a trusted third party is involved, resolving these actions fairly between adversaries without a trusted third party is much more difficult. This paper proposes the Pairwise Random Protocol (PRP), which uses secure coin flipping to enable adversaries to fairly determine the result of a probabilistic event without a trusted third party. Three different variations of PRP are presented, and the time impact and network overhead are examined. We conclude that PRP enables DVE's to distribute the work of determining probabilistic events between adversaries without loss of security or fairness, and with acceptable overhead.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
John L. Miller: colleagues
Jon Crowcroft: colleagues