File:An intrusion-detection tutoring system using means-ends analysis (IA anintrusiondetec1094535082).pdf
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Summary[edit]
An intrusion-detection tutoring system using means-ends analysis
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| Author |
Schiavo, Sandra Jean. |
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| Title |
An intrusion-detection tutoring system using means-ends analysis |
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| Publisher |
Monterey, California. Naval Postgraduate School |
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| Description |
This research designed and implemented an intelligent tutoring system for teaching computer intrusion detection to potential or current system administrators of computer networks. The Intrusion- Detection Tutoring System (IDTS) is an intelligent tutoring system built using Quintus Prolog and METUTOR general-purpose tutoring software written by Professor Rowe. The operating environment of the IDTS is a virtual one, based on UNIX; it uses some common UNIX commands and file hierarchy. After both student and tutor analyze a static audit file to find suspicious and or malicious behavior, the student tries to fix the damage, and the computer critiques the student's actions using means-ends analysis. Using its nineteen behavior rules, IDTS can classify eleven different types of intruder behavior known to exploit system vulnerabilities, and can tutor the student how to detect this behavior and how to efficiently return the system to a secure state after the intrusion has occurred. Four different audit files of varying length were tested with IDTS. IDTS correctly identified most intruder behavior in both manually and computer generated audit files, and showed it could correctly tutor on that behavior. Subjects: |
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| Language | English | |
| Publication date | March 1995 | |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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| Accession number |
anintrusiondetec1094535082 |
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| Source | ||
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted. | |
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This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 11:38, 14 July 2020 |  | 1,275 × 1,650, 156 pages (5.67 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection anintrusiondetec1094535082 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #7169) |
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