HIGHLIGHTS
SUMMARY
There Lounis Ouarda et_al is a growing demand for effective intrusion detection algorithms that recognize, isolate, and handle suspicious patterns in system call sequences. Specifically, the ADFA-LD dataset was created to assess anomaly detection and system call-based host-based intrusion detection system (HIDS). To compare two sequences side by side or to offer several sequence alignments for a set of sequences, many different similarity measures have been proposed by bioinformatics over the years. Indeed, if the system call sequence contains 242 system calls, the authors take the entire sequence in this model . . .
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