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• W1566884194 abstract "High false alarm rates and execution times are among the key issues in host-based anomaly detection systems. In this paper, we investigate the use of trace abstraction techniques for reducing the execution time of anomaly detectors while keeping the same accuracy. The key idea is to represent system call traces as traces of kernel module interactions and use the resulting abstract traces as input to known anomaly detection techniques, such as STIDE (the Sequence Time-Delay Embedding) and HMM (Hidden Markov Models). We performed experiments on three datasets, namely, the traditional UNM dataset as well as two modern datasets, Firefox and ADFA-LD. The results show that kernel module traces can lead to similar or fewer false alarms and considerably smaller execution times compared to raw system call traces for host-based anomaly detection systems." @default.
• W1566884194 created "2016-06-24" @default.
• W1566884194 creator A5032967266 @default.
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• W1566884194 date "2015-05-01" @default.
• W1566884194 modified "2023-09-27" @default.
• W1566884194 title "A trace abstraction approach for host-based anomaly detection" @default.
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• W1566884194 doi "https://doi.org/10.1109/cisda.2015.7208644" @default.
• W1566884194 hasPublicationYear "2015" @default.
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