@inproceedings{9f8bb01bcedd4c989ba1302224bb3c1b,
title = "Intelligent agents for intrusion detection",
abstract = "The paper focuses on intrusion detection and countermeasures with respect to widely-used operating systems and networks. The design and architecture of an intrusion detection system built from distributed agents is proposed to implement an intelligent system on which data mining can be performed to provide global, temporal views of an entire networked system. A starting point for agent intelligence in the system is the research into the use of machine learning over system call traces from the privileged sendmail program on UNIX. The authors use a rule learning algorithm to classify the system call traces for intrusion detection purposes and show the results.",
author = "Helmer, \{G. G.\} and Wong, \{J. S.K.\} and V. Honavar and L. Miller",
note = "Funding Information: This wotk supported in part by the Applied Mathematical Sciences Program of the Ames Laboratory, U. S. Department of Energy under contract number W-7405-ENCi-82. Publisher Copyright: {\textcopyright} 1998 IEEE.; 1998 IEEE Information Technology Conference, IT 1998 ; Conference date: 03-09-1998",
year = "1998",
doi = "10.1109/IT.1998.713396",
language = "English (US)",
series = "1998 IEEE Information Technology Conference: Information Environment for the Future, IT 1998",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "121--124",
booktitle = "1998 IEEE Information Technology Conference",
address = "United States",
}