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Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks

Nov 12, 2020
Wenhao Li, Bincheng Zhang, Jiajie Zhang

* Mistakes occupy in the experimental results thus was rejected by ICICS. For preciseness we have to withdraw the paper. The experimental results are self-contradictory. The results of RNN-IDS in Table 1. FPR = 100% = FP/(FP+TN), so TN should be 0. recall = 100% = TP/(TP+FN), so FN should be 0. Therefore, precision=TP/(TP+FP)=50%, given that FP=TP. But table 1 shows that precision is 0.6967 

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