Hafsa Benaddi

most citedEfficient Intrusion Detection: Combining

χ^{2}

Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset

4 citations · 4 across the 2 of their papers we have counts for

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cs.NI2024★ 4 cited

Efficient Intrusion Detection: Combining $χ^{2}$ Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset

Mohammed Jouhari, Hafsa Benaddi, Khalil Ibrahimi

Intrusion Detection Systems (IDSs) have played a significant role in the detection and prevention of cyber-attacks in traditional computing systems. It is not surprising that this…

Efficient Intrusion Detection: Combining χ2 Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset

Efficient Intrusion Detection: Combining $χ^{2}$ Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset