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Accelerated GPU Powered Methods for Auditing Security of Wireless Networks Using Probabilistic Password Generation

Jan Krekan, Lubomir Dobos, Matus Pleva
Technical university of Kosice, Slovakia
Journal of Electrical and Electronics Engineering, Vol. 5, Issue 1, p.111-114, 2012

@article{krekan2012accelerated,

   title={Accelerated GPU Powered Methods for Auditing Security of Wireless Networks Using Probabilistic Password Generation},

   author={KREKAN, J. and Lubomir, D. and Matus, P.},

   journal={Journal of Electrical and Electronics Engineering},

   volume={5},

   year={2012}

}

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The main goal of this paper is to discuss new & faster methods for testing the strength of security used in today’s wireless networks. This paper discusses probabilistic password generation methodsfor testing the real security of networks protected by WPA/WPA2 PSK (Pre-shared key) standard (also known as Personal mode). The main advantage of using those techniques in comparison with a traditional dictionary attack is the speed. The first section discusses the using of a modern graphics cards as an additional, very effective processing power for better performance during a key recovery process. The second part of this article describes the statisticalproposal which could be implemented and used for testing the real security of keys used to protect the network. This statistical method, when properly implemented can also significantly reduce the total time required for a wireless audit.
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