Inductive inference model of anomaly and misuse detection

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Description

Further consequences of the inductive inference model of anomaly and misuse detection are presented. The results apply to the design of both probability models for the inductive inference framework and to the design of W&S rule bases. The issues considered include: the role of misuse models M{sub A}, the selection of relevant sets of attributes and the aggregation of their values, the effect on a rule base of nonmaximal rules, and the partitioning of a set of attributes into a left hand and right hand side.

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18 p.

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Helman, P. January 1, 1997.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 25 times . More information about this report can be viewed below.

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Description

Further consequences of the inductive inference model of anomaly and misuse detection are presented. The results apply to the design of both probability models for the inductive inference framework and to the design of W&S rule bases. The issues considered include: the role of misuse models M{sub A}, the selection of relevant sets of attributes and the aggregation of their values, the effect on a rule base of nonmaximal rules, and the partitioning of a set of attributes into a left hand and right hand side.

Physical Description

18 p.

Notes

OSTI as DE97002574

Source

  • Other Information: PBD: [1997]

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  • Other: DE97002574
  • Report No.: LA-SUB--93-220
  • Grant Number: W-7405-ENG-36
  • DOI: 10.2172/427002 | External Link
  • Office of Scientific & Technical Information Report Number: 427002
  • Archival Resource Key: ark:/67531/metadc682815

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Office of Scientific & Technical Information Technical Reports

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Creation Date

  • January 1, 1997

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • July 28, 2016, 7:32 p.m.

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Helman, P. Inductive inference model of anomaly and misuse detection, report, January 1, 1997; New Mexico. (digital.library.unt.edu/ark:/67531/metadc682815/: accessed July 19, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.