NDLI: Meeting Scheduling Guaranteeing n/2-Privacy and Resistant to Statistical Analysis (Applicable to any DisCSP)

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Meeting Scheduling Guaranteeing n/2-Privacy and Resistant to Statistical Analysis (Applicable to any DisCSP)

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Meeting Scheduling Guaranteeing n/2-Privacy and Resistant to Statistical Analysis (Applicable to any DisCSP)

Content Provider	ACM Digital Library
Author	Silaghi, Marius Calin
Abstract	Distributed problems raise privacy issues. The user would like to specify securely his constraints (desires, availability, money) on his computer once. The computer is expected to compute and communicate for searching an acceptable solution while maintaining the privacy of the user. Even without computers infested with spy viruses that capture the interaction with the user, most agent based approaches reveal parts of one agent's secret data to its partners in distributed computations [Using privacy loss to guide decisions in distributed CSP search]. Some cryptographic multi-party computation protocols [Completeness theorems for non-cryptographic fault-tolerant distributed computating] succeed to avoid leaking secrets at the computation of some functions with private inputs. They have been applied to find the set of all solutions for the meeting scheduling problem [On securely scheduling a meeting]. However, nobody yet succeeded to apply those techniques for finding a random solution to the meeting scheduling problem. Note that revealing all solutions, when you only need a single one, leaks a lot of data about when others are, or are not, available. Some answers were proposed in our previous approaches to distributed constraint problems [Solving a distributed CSP with cryptographic multi-party computations, without revealing constraints and without involving trusted servers]. They guarantee that no agent can infer with certitudea secret from the identity of the solution of the problem (other than the acceptance of the solution), but guarantee nothing about inference of probabilistic information about secrets. Our new technique answers this problem, too.
Starting Page	711
Ending Page	715
Page Count	5
File Format	PDF
ISBN	0769521002
DOI	10.1109/WI.2004.94
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-09-20
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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