Treffer: FPR and FNR analysis based on varying cyber attack types.
Title:
FPR and FNR analysis based on varying cyber attack types.
Authors:
Publication Year:
2025
Subject Terms:
Biotechnology, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, recursive feature elimination, outperformed existing models, model &# 8217, maximum recognition rate, including false positive, implemented using python, identifying abnormal patterns, false positive rate, false negative rates, false negative rate, causes prediction inaccuracies, computational complexity issues, communication networks within, indicate potential cyberattacks, iomt threat detection, dynamic iomt ecosystem, recurrent neural networks, interconnected healthcare devices, enhancing cyberattack prediction, dataset availability issues, computational efficiency enhances, sensitive healthcare data, recurrent networks, healthcare devices, computational efficiency, detecting cyberattacks
Document Type:
Bild
still image
Language:
unknown
DOI:
10.1371/journal.pone.0321941.g011
Availability:
Rights:
CC BY 4.0
Accession Number:
edsbas.F33EBC04
Database:
BASE
Weitere Informationen
FPR and FNR analysis based on varying cyber attack types.