LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks. (arXiv:2207.00424v1 [cs.CR])

In the recent years, we have witnessed a huge growth in the number of
Internet of Things (IoT) and edge devices being used in our everyday
activities. This demands the security of these devices from cyber attacks to be
improved to protect its users. For years, Machine Learning (ML) techniques have
been used to develop Network Intrusion Detection Systems (NIDS) with the aim of
increasing their reliability/robustness. Among the earlier ML techniques DT
performed well. In the recent years, Deep …

deep learning detection intrusion intrusion detection iot networks systems