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- W4348436 abstract "Due to the growing threat of network attacks, the efficient detection as well as the network abuse assessment are of paramount importance. In this respect, the Intrusion Detection Systems (IDS) are intended to protect information systems against intrusions. However, IDS are plugged with several problems that slow down their development, such as low detection accuracy and high false alarm rate. In this paper, we introduce a new IDS, called OMC-IDS, which integrates data mining techniques and On Line Analytical Processing (OLAP) tools. The association of the two fields can be a powerful solution to deal with the defects of IDS. Our experiment results show the effectiveness of our approach in comparison with those fitting in the same trend." @default.
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- W4348436 date "2012-01-01" @default.
- W4348436 modified "2023-09-27" @default.
- W4348436 title "OMC-IDS: At the Cross-Roads of OLAP Mining and Intrusion Detection" @default.
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- W4348436 doi "https://doi.org/10.1007/978-3-642-30220-6_2" @default.
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