Machine Learning-based Jamming Detection for IEEE 802.11: Design and Experimental Evaluation

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2014
1.	Oscar Puñal, Ismet Aktas, Caj-Julian Schnelke, Gloria Abidin, James Gross, and Klaus Wehrle Machine Learning-based Jamming Detection for IEEE 802.11: Design and Experimental Evaluation Proceedings of the 15th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM'14), Sydney, Australia, page 1--10. Publisher: IEEE, June 2014

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