Defending a Computer System Using Autonomous Agents

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Author

Mark Crosbie and E. H. Spafford

Tech report number

CSD-TR-95-022

Entry type

techreport

Abstract

This report presents a prototype architecture of a defense mechanism for computer systems. The intrusion detection problem is introduced and some of the key aspects of any solution are explained. Standard intrusion detection systems are built as a single monolithic module. A finer-grained approach is proposed, where small, independent agents monitor the system. These agents are taught how to recognise intrusive behaviour. The learning mechanism in the agents is built using Genetic Programming. This is explained, and some sample agents are described. The flex- ibility, scalability and resilience of the agent approach are discussed. Future issues are also outlined.

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Date

1995

URL

https://www.cerias.purdue.edu/ ... ports-ssl/public/95-02.ps

Institution

Department of Computer Sciences

Key alpha

crosbie

Number

COAST TR 95-02

School

Purdue University

Publication Date

0000-00-00

Location

A hard-copy of this is in the CERIAS Library

BibTex-formatted data

To refer to this entry, you may select and copy the text below and paste it into your BibTex document. Note that the text may not contain all macros that BibTex supports.

@Techreport{ crosbie,
	title = "Defending a Computer System Using Autonomous Agents",
	author = "Mark Crosbie and E. H. Spafford",
	year = "1995",
	institution = "Department of Computer Sciences",
	number = "COAST TR 95-02",
	school = "Purdue University",
	abstract = " This report presents a prototype architecture of a defense mechanism for computer systems. The intrusion detection problem is introduced and some of the key aspects of any solution are explained. Standard intrusion detection systems are built as a single monolithic module. A finer-grained approach is proposed, where small, independent agents monitor the system. These agents are taught how to recognise intrusive behaviour. The learning mechanism in the agents is built using Genetic Programming. This is explained, and some sample agents are described. The flex- ibility, scalability and resilience of the agent approach are discussed. Future issues are also outlined. ",
	url = "https://www.cerias.purdue.edu/techreports-ssl/public/95-02.ps",
}