Efficient intrusion detection is needed as a defense of the network system to detect the
attacks over the network. Intrusion detection is so much popular since the last two
decades, where intruders attempted to break into or misuse the system. There are many
techniques used in IDS for protecting computers and networks from network-based and
host-based attacks. This paper presents a comparative study for intrusion detection (IDs)
using the machine learning (ML) methods, we spotlight the methods used and the results
achieved.
Real Time Impact Factor:
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Author Name: Reem A KH AlMeshal
URL: View PDF
Keywords: Intrusion Detection (IDS), Machine Learning (ML), Deep Learning
ISSN: 2616-9185
EISSN: 2616-9185
EOI/DOI:
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