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This paper introduces an innovative anomaly detection system based on a hybrid LSTM-autoencoder approach ... in anomalies detection with 99% and 96% on CICIDS2017 and on real network traffic, ...

This paper proposes an Autoencoder Long Short-Term Memory (AE-LSTM) algorithm to improve anomaly detection. We evaluate and compare the efficacy of AE-LSTM against the benchmark Deep Neural Network ...