DocumentCode :
1635994
Title :
An evolutionary programming approach for detecting novel computer network attacks
Author :
Anchor, Kevin P. ; Lamont, Gary B. ; Gunsch, Gregg H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH, USA
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
1618
Lastpage :
1623
Abstract :
Attacks against computer networks are becoming more sophisticated, with adversaries using new attacks or modifying exiting attacks. This research presents an initial step in using an evolutionary programming approach to develop a system for automatically detecting attacks with features similar to known attacks. Initial testing shows the algorithm performs satisfactorily
Keywords :
computer networks; evolutionary computation; security of data; telecommunication security; computer network attack detection; computer network security; evolutionary programming; intrusion detection systems; testing; Artificial immune systems; Computer architecture; Computer network management; Computer networks; Detectors; Evolutionary computation; Genetic programming; Intrusion detection; Technology management; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
Type :
conf
DOI :
10.1109/CEC.2002.1004484
Filename :
1004484
Link To Document :
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