Applying Genetic Programming to Intrusion Detection
Author
Mark Crosbie,Gene Spafford
Abstract
This paper presents a potential solution to the intrusion detection problem in
computer security. It uses a combiniation of work in the fields of Artificial
Life and computer security. It shows how an intrusion detection system can be
implemented using autonomous agents, and how these agents can be built using
Genetic Programming. It also shows how Automatically Defined Functions (ADF's)
can be used to evolve genetic programs that contain multiple data types and yet
retain type-safety. Future work arising from this is also discussed.
Address
West Lafayette, IN 47907-1398
Institution
COAST Publications
Note
Appeared in 1995 AAAI Fall Symposium on Artifical Intelligence, Genetic Programming Track
Publication Date
2001-01-01
Location
A hard-copy of this is in the CERIAS Library