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Revista Cubana de Ciencias Informáticas
On-line version ISSN 2227-1899
Abstract
HERRERA-SEMENETS, Vitali; DOERR, Christian; PEREZ-GARCIA, Osvaldo Andrés and HERNANDEZ-LEON, Raudel. Improving scan and backscatter detection performance.. Rev cuba cienc informat [online]. 2018, vol.12, suppl.1, pp. 1-12. ISSN 2227-1899.
The exponential growth in the volume of information generated by the provision of telecommunications services makes the data processing an increasingly complex task. The presence of unnecessary information, such as redundantor noisy data, can affect the performance of Intrusion Detection Systems (IDS). Several data mining techniques have been proposed to reduce unnecessary information. However, carrying out the reduction process without affecting the efficacy of the detection process, remains a challenge. In this paper, a method to reduce the existence of unnecessary information is presented, improving the IDS efficiency, without greatly affecting the efficacy during the detection process. Achieved results using real data to detect scan and backscatter packages, show that the application of proposed method in real scenarios is feasible.
Keywords : data reduction; scan; backscatter.