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r37980778c78--32b723a64056253c2dfd8b7aeb762796
Geometric mean of the proposed Dyn-Stratum, Learn++.NSE, WMV, ADACC, and ARF methods on cybersecurity datasets. -
<i>Recall</i> of the proposed Dyn-Stratum, Learn++.NSE, WMV, ADACC, and ARF m...
Recall of the proposed Dyn-Stratum, Learn++.NSE, WMV, ADACC, and ARF methods on cybersecurity datasets. -
r37980778c78--1c855023d437dc700055877f214b2e2e
F-measure of the proposed Dyn-Stratum, Learn++.NSE, WMV, ADACC, and ARF methods on cybersecurity datasets. -
r37980778c78--e23fd72999db75579daf60b76429e84a
The performance on the Spam dataset with two classes over 10 runs. -
r37980778c78--07356eb33ca08368dfd4db8cc24750b3
The benchmarked datasets on real-world cybersecurity problem. -
The performance on the <i>NSL-KDD</i> dataset with four attacks and normal cl...
The performance on the NSL-KDD dataset with four attacks and normal class over 10 runs. -
r37980778c78--c1ba72a738a20ed764f7332aa368620a
Precision of the proposed Dyn-Stratum, Learn++.NSE, WMV, ADACC, and ARF methods on cybersecurity datasets. -
r37980778c78--59cc28f17d0c1379fce41fe94ad44b93
The performance on the Phishing dataset with two classes over 10 runs.