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  1. Proceedings of the 9th Workshop on Hot Topics in Dependable Systems (HotDep '13)
  2. Towards privacy-preserving fault detection
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Towards privacy-preserving fault detection

Content Provider ACM Digital Library
Author Papadimitriou, Antonis Haeberlen, Andreas Zhao, Mingchen
Abstract In this paper, we discuss the problem of detecting general faults in distributed systems that handle confidential information. Detecting non-crash faults is difficult in this setting because, to check the behavior of a given node, we need to know its expected behavior -- but that can depend on the confidential information. Classical zero-knowledge proofs are difficult to apply because they are designed to verify functions with a fixed number of inputs, but in many distributed systems, both the size and the number of a node's "inputs" (the messages it has received from other nodes) are not known. We propose an approach that can efficiently provide zero-knowledge fault detection for certain systems. Our approach spreads the detection tasks across multiple nodes, leveraging a node's existing knowledge whenever possible. We use epistemic reasoning to infer such knowledge, and we combine classical zero-knowledge proofs with a special data structure to handle inputs of unknown size. We show how our approach can be applied to a simple example system, and we report some initial performance measurements.
Starting Page 1
Ending Page 5
Page Count 5
File Format PDF
ISBN 9781450324571
DOI 10.1145/2524224.2524233
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-11-03
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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