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- W2137017672 abstract "This paper focuses on intrusion detection based on system call sequences using text processing techniques. It introduces kernel based similarity measure for the detection of host-based intrusions. The k-nearest neighbour (kNN) classifier is used to classify a process as either normal or abnormal. The proposed technique is evaluated on the DARPA-1998 database and its performance is compared with other existing techniques available in the literature. It is shown that this technique is significantly better than the other techniques in achieving lower false positive rates at 100% detection rate." @default.
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- W2137017672 date "2007-12-01" @default.
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- W2137017672 title "Intrusion detection using text processing techniques with a kernel based similarity measure" @default.
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- W2137017672 doi "https://doi.org/10.1016/j.cose.2007.10.003" @default.
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