%0 Conference Paper %1 laroche:gecco05ws %A LaRoche, Patrick %A Zincir-Heywood, A. Nur %B Genetic and Evolutionary Computation Conference (GECCO2005) workshop program %C Washington, D.C., USA %D 2005 %E Rothlauf, Franz %E Blowers, Misty %E Branke, Jürgen %E Cagnoni, Stefano %E Garibay, Ivan I. %E Garibay, Ozlem %E Grahl, Jörn %E Hornby, Gregory %E de Jong, Edwin D. %E Kovacs, Tim %E Kumar, Sanjeev %E Lima, Claudio F. %E Llorà, Xavier %E Lobo, Fernando %E Merkle, Laurence D. %E Miller, Julian %E Moore, Jason H. %E O'Neill, Michael %E Pelikan, Martin %E Riopka, Terry P. %E Ritchie, Marylyn D. %E Sastry, Kumara %E Smith, Stephen L. %E Stringer, Hal %E Takadama, Keiki %E Toussaint, Marc %E Upton, Stephen C. %E Wright, Alden H. %I ACM Press %K algorithms, genetic programming %P 170--171 %T 802.11 Network Intrusion Detection using Genetic Programming %U http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005wks/papers/0170.pdf %X Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of features that the GP uses to train and test solutions which allow for the efficient and accurate detection of given attack patterns. However, when applied to a 802.11 network that is faced with attacks specific to the 802.11 protocol, the GP's detection rate reduces dramatically. We discuss what causes this effect, and what can be done to improve GP's performance on 802.11 networks.

@inproceedings{laroche:gecco05ws, abstract = {Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of features that the GP uses to train and test solutions which allow for the efficient and accurate detection of given attack patterns. However, when applied to a 802.11 network that is faced with attacks specific to the 802.11 protocol, the GP's detection rate reduces dramatically. We discuss what causes this effect, and what can be done to improve GP's performance on 802.11 networks.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Washington, D.C., USA}, author = {LaRoche, Patrick and Zincir-Heywood, A. Nur}, biburl = {https://www.bibsonomy.org/bibtex/2f57f0bffc7fe8a9c6e3f40ec43c97bd5/brazovayeye}, booktitle = {Genetic and Evolutionary Computation Conference {(GECCO2005)} workshop program}, editor = {Rothlauf, Franz and Blowers, Misty and Branke, J{\"u}rgen and Cagnoni, Stefano and Garibay, Ivan I. and Garibay, Ozlem and Grahl, J{\"o}rn and Hornby, Gregory and {de Jong}, Edwin D. and Kovacs, Tim and Kumar, Sanjeev and Lima, Claudio F. and Llor{\`a}, Xavier and Lobo, Fernando and Merkle, Laurence D. and Miller, Julian and Moore, Jason H. and O'Neill, Michael and Pelikan, Martin and Riopka, Terry P. and Ritchie, Marylyn D. and Sastry, Kumara and Smith, Stephen L. and Stringer, Hal and Takadama, Keiki and Toussaint, Marc and Upton, Stephen C. and Wright, Alden H.}, interhash = {48d4d106a9346e1268059baa2c56af22}, intrahash = {f57f0bffc7fe8a9c6e3f40ec43c97bd5}, keywords = {algorithms, genetic programming}, month = {25-29 June}, notes = {Distributed on CD-ROM at GECCO-2005. ACM 1-59593-097-3/05/0006}, pages = {170--171}, publisher = {ACM Press}, timestamp = {2008-06-19T17:45:10.000+0200}, title = {802.11 Network Intrusion Detection using Genetic Programming}, url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005wks/papers/0170.pdf}, year = 2005 }