Hybrid CNN-LSTM Anomaly Detection in IoT Traffic Using the Hurst Self-Similarity Parameter Under Gaussian Noise

Today's article comes from the IET journal of Information Security. The authors are Morshedi et al., from Yazd University, in Iran. In this paper they incorporate the Hurst parameter into a hybrid CNN-LSTM model, that scans through IoT network traffic looking for anomalies.

DOI: 10.1049/ise2/6864273