Authors:
Pedro A. Diaz-Gomez
and
Dean F. Hougen
Affiliation:
Robotics, Evolution, Adaptation, and Learning Laboratory (REAL Lab), School of Computer Science, University of Oklahoma, United States
Keyword(s):
Misuse detection, genetic algorithms, iterative process, false negative, false positive.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Evolutionary Programming
Abstract:
With the explosion of the Internet and its use, the development of security mechanims are quite important in order to preserve the confidentiality, integrity, and availability of data stored in computers. However, the growth of intrusions can make such mechanisms almost unusable, in the sense that the computation time or space needed in order to mantain them can grow exponentially. This position paper presents an iterative process for doing misuse detection, and compares it with another approach for doing that: a Genetic Algorithm.