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  1. 1. Data Mining for Network Intrusion Detection : A comparison of data mining algorithms and an analysis of relevant features for detecting cyber-attacks

    Kandidat-uppsats, Mittuniversitetet/Avdelningen för informations- och kommunikationssystem

    Författare :Rebecca Petersen; [2015]
    Nyckelord :Data mining; machine learning; cyber-attack; NSL-KDD; fea-tures; DoS; Probing; R2L; U2R.;

    Sammanfattning : Data mining can be defined as the extraction of implicit, previously un-known, and potentially useful information from data. Numerous re-searchers have been developing security technology and exploring new methods to detect cyber-attacks with the DARPA 1998 dataset for Intrusion Detection and the modified versions of this dataset KDDCup99 and NSL-KDD, but until now no one have examined the performance of the Top 10 data mining algorithms selected by experts in data mining. LÄS MER