Genetic Programming for Prevention of Cyberterrorism Through Dynamic and Evolving Intrusion Detection

Decision Support Systems (DSS), Vol. 43, No. 4, pp. 1362-1374

32 Pages Posted: 26 Jan 2006 Last revised: 11 Apr 2015

See all articles by James V. Hansen

James V. Hansen

Brigham Young University - School of Accountancy

Paul Benjamin Lowry

Virginia Polytechnic Institute & State University - Pamplin College of Business

Rayman Meservy

Brigham Young University - Department of Information Systems

Dan McDonald

University of Arizona - Eller College of Management

Abstract

Since malicious intrusions into critical information infrastructures are essential to the success of cyberterrorists, effective intrusion detection is also essential for defending such infrastructures. Cyberterrorism thrives on the development of new technologies; and, in response, intrusion detection methods must be robust and adaptive, as well as efficient. We hypothesize that genetic programming algorithms can aid in this endeavor. To investigate this proposition, we conducted an experiment using a very large dataset from the 1999 Knowledge Discovery in Database (KDD) Cup data, supplied by the Defense Advanced Research Projects Agency (DARPA) and MIT's Lincoln Laboratories. Using machine-coded linear genomes and a homologous crossover operator in genetic programming, promising results were achieved in detecting malicious intrusions. The resulting programs execute in real time, and high levels of accuracy were realized in identifying both positive and negative instances.

Keywords: terrorism, cyberterrorism, intrusion detection, genetic programming

Suggested Citation

Hansen, James V. and Lowry, Paul Benjamin and Meservy, Rayman and McDonald, Dan, Genetic Programming for Prevention of Cyberterrorism Through Dynamic and Evolving Intrusion Detection. Decision Support Systems (DSS), Vol. 43, No. 4, pp. 1362-1374. Available at SSRN: https://ssrn.com/abstract=877981

James V. Hansen

Brigham Young University - School of Accountancy ( email )

Provo, UT 84602
United States

Paul Benjamin Lowry (Contact Author)

Virginia Polytechnic Institute & State University - Pamplin College of Business ( email )

1016 Pamplin Hall
Blacksburg, VA 24061
United States

Rayman Meservy

Brigham Young University - Department of Information Systems ( email )

510 Tanner Building
Marriott School
Provo, UT 84602
United States

Dan McDonald

University of Arizona - Eller College of Management ( email )

McClelland Hall
P.O. Box 210108
Tucson, AZ 85721-0108
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
327
Abstract Views
2,909
rank
94,635
PlumX Metrics