2020, Vol.23, No.4, pp.397 - 404
The paper reviews the intrusion detection approach based on bioinformatics algorithms for alignment and comparing of the nucleotide sequences. Sequence alignment is a natureclose computational procedure for matching the coded strings by searching for the regions of individual characteristics that are located in the same order. A calculated rank of similarity is used instead of equity checking to estimate the distance between a sequence of the monitored operational acts and a generalized intrusion pattern. Multiple alignment schema is more effective and accurate than the Smith–Waterman local alignment due to ability to find few blocks of similarity. In comparison with a traditional signature-based IDS, it is found that the nature-inspired approach provides the better work characteristics. The experimental study have shown that new approach demonstrates high, 99 percent, level of accuracy.
Key words: alignment, bioinformatics, bioinspired, detection, homologue, infrastructure, intrusion, IoT, Mauve, Smith–Waterman, security, sequence, similarity
DOI: https://doi.org/10.33581/1561-4085-2020-23-4-397-404
Full text: Acrobat PDF (484 KB) Open Access
Copyright © Nonlinear Phenomena in Complex Systems. Last updated: December 30, 2020