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