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
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
Series:Cogent Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/23311916.2020.1859667

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