Efficient and explainable intrusion detection for the internet of things using modified-LSTM and HTM-inspired sparse CNN with federated learning
According to the World Economic Forum, IoT devices have become a main target for Dark Web attacks. There is therefore a pressing need to develop intrusion detection systems suitable for deployment on IoT devices. To this end, we developed an IDS inspired from Hierarchical Temporal Memory (HTM) with Sparse CNN model tha...