Genetic programming for prevention of cyberterrorism through dynamic and evolving intrusion detection

Volume: 43, Issue: 4, Pages: 1362 - 1374
Published: Aug 1, 2007
Abstract
Because 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...
Paper Details
Title
Genetic programming for prevention of cyberterrorism through dynamic and evolving intrusion detection
Published Date
Aug 1, 2007
Volume
43
Issue
4
Pages
1362 - 1374
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