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Fragmented Data Processing: An Approach to Secure and Reliable Processing in Distributed Computing Systems

  • Jean-Michel Fray
  • Jean-Charles Fabre
Part of the Dependable Computing and Fault-Tolerant Systems book series (DEPENDABLECOMP, volume 4)

Abstract

This paper presents a new approach for solving the problem of reliable processing of sensitive information in distributed computing systems1. Distributed systems offer redundancy that can be used to enhance reliability by means of adequate fault tolerance mechanisms. For security requirements, a given computer cannot be used to run any application . Consequently, only a given set of trusted processors can be used, thus reducing the flexibility of the network. In this paper, we first discuss the problem of ensuring both security and reliability in distributed systems. Then we present the principles of a new approach (Fragmented Data Processing), which is currently being investigated at LAAS, and that seems to be a promising approach to solve, at least partially, the problem of Secure and Reliable Processing in Distributed Computing Systems.

Keywords

Local Area Network Sensitive Information Granularity Level Distribute Computing System Reliable Processing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag/Wien 1991

Authors and Affiliations

  • Jean-Michel Fray
    • 1
  • Jean-Charles Fabre
    • 1
  1. 1.Laboratoire d’Automatique et d’Analyse des Systèmes du C.N.R.S.Toulouse CedexFrance

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