Defending a Computer System Using Autonomous Agents

Defending a Computer System Using Autonomous Agents (1995)

by Mark Crosbie , Gene Spafford

Citations:

61 - 2 self

User correction supplied by mph

Datum	Value	Source
TITLE	Defending a Computer System Using Autonomous Agents	INFERENCE
AUTHOR NAME	Mark Crosbie	user correction
AUTHOR AFFIL	COAST Laboratory; Dept. of Computer Sciences; Purdue University	user correction
AUTHOR ADDR	West Lafayette IN 47907-1398	user correction
AUTHOR NAME	Gene Spafford	user correction
AUTHOR AFFIL	COAST Laboratory; Dept. of Computer Sciences; Purdue University	user correction
AUTHOR ADDR	West Lafayette IN 47907-1398	user correction
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 exibility, scalability and resilience of the agent approach are discussed. Future issues are also outlined.	user correction
YEAR	1995	INFERENCE
VENUE TYPE	TECHREPORT	INFERENCE
TECH	Technical Report CSD-TR-95-022	INFERENCE
CITATIONS	7 found	ParsCit 1.0