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Published in 2020 at "Electronics Letters"
DOI: 10.1049/el.2019.4158
Abstract: Before using any dataset in the intrusion detection system (IDS), it is crucial to acquire an accurate assessment of its efficiency. Nevertheless, the key complications presently met by the researchers are the deficiency of accessibility…
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Keywords:
generating realistic;
ids dataset;
realistic iot;
iot based ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204690
Abstract: Intrusion Detection System (IDS) dataset is crucial to detect lateral movement of cyber-attacks. IDS dataset will help to train the IDS classifier model to achieve earliest detection. A good near-realism public dataset is essential to…
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Keywords:
cira cic;
ids dataset;
cic dohbrw;
dohbrw 2020 ... See more keywords
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Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0322000
Abstract: In light of the increasing threat posed by cyberattacks, it is imperative for organizations to accurately identify malicious network traffic. However, the imbalance among various attack categories diminishes the accuracy of model predictions. To address…
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Keywords:
model;
maple ids;
network;
prediction model ... See more keywords