An improved bio-inspired based intrusion detection model for a cyberspace

Bio-inspired intrusion detection solutions provide better detection accuracy than conventional solutions in securing cyberspace. However, existing bio-inspired anomaly-based intrusion detection systems are still faced with challenges of high false-positive rates because the algorithms were tuned wit...

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Bibliographic Details

Published in:	Cogent Engineering
Main Authors:	Samera Uga Otor, Bodunde Odunola Akinyemi, Temitope Adegboye Aladesanmi, Ganiyu Adesola Aderounmu, B. H. Kamagaté
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2021-01-01
Subjects:	cyberspace intrusion detection foraging behavior bio-inspired
Online Access:	http://dx.doi.org/10.1080/23311916.2020.1859667