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An Intelligent Tutor for Intrusion Detection on Computer Systems

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Author
Rowe, Neil C.
Schiavo, Sandra
Date
1998-00-00
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Abstract
Intrusion detection is the process of identifying unauthorized usage of a computer system. It an important skill for computer-system administrators. It is difficult to learn on the job because it is needed only occasionally but can be critical. We describe a tutor incorporating two programs. The first program uses artificial-intelligence planning methods to generate realistic audit files reporting actions of a variety of simulated users (including intruders) of a Unix computer system. The second program simulates the system afterwards, and asks the student to inspect the audit and fix the problems caused by the intruders. This program uses intrusion-recognition rules to itself infer the problems, planning methods to figure how best to fix them, plan-inference methods to track student actions, and tutoring rules to tutor intelligently. Experiments show that students using the tutor learn a significant amount in a short time.
Description
Computers and Education, pp. 395-404, 1998
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
URI
http://hdl.handle.net/10945/7188
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  • Center for Cybersecurity and Cyber Operations (C3O) Papers
  • Faculty and Researchers' Publications

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