• DocumentCode
    2508052
  • Title

    Unreliable intrusion detection in distributed computations

  • Author

    Malkhi, Dahlia ; Reiter, Michael

  • Author_Institution
    AT&T Labs.-Res., Murray Hill, NJ, USA
  • fYear
    1997
  • fDate
    10-12 Jun 1997
  • Firstpage
    116
  • Lastpage
    124
  • Abstract
    Distributed coordination is difficult, especially when the system may suffer intrusions that corrupt some component processes. We introduce the abstraction of a failure detector that a process can use to (imperfectly) detect the corruption (Byzantine failure) of another process. In general, our failure detectors can be unreliable, both by reporting a correct process to be faulty or by reporting a faulty process to be correct. However, we show that if these detectors satisfy certain plausible properties, then the well known distributed consensus problem can be solved. We also present a randomized protocol using failure detectors that solves the consensus problem if either the requisite properties of failure detectors hold or if certain highly probable events eventually occur. This work can be viewed as a generalization of benign failure detectors popular in the distributed computing literature
  • Keywords
    data integrity; distributed processing; failure analysis; protocols; safety systems; security of data; Byzantine failure; benign failure detectors; component processes; consensus problem; corruption detection; distributed computations; distributed computing; distributed consensus problem; distributed coordination; failure detector; highly probable events; plausible properties; randomized protocol; unreliable intrusion detection; Algorithm design and analysis; Computer crashes; Detectors; Distributed computing; Event detection; Failure analysis; Fault detection; Interconnected systems; Intrusion detection; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Security Foundations Workshop, 1997. Proceedings., 10th
  • Conference_Location
    Rockport, MA
  • ISSN
    1063-6900
  • Print_ISBN
    0-8186-7990-5
  • Type

    conf

  • DOI
    10.1109/CSFW.1997.596799
  • Filename
    596799