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ARLIF-IDS -- Attention augmented Real-Time Isolation Forest Intrusion Detection System
Experimental results demonstrate that the proposed attention augmented model achieves a significant reduction in execution time, by 91. 78%, and an average detection F1-Score of 0. 93 on the NSL-KDD and KDDCUP'99 dataset.
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