Abstract:The proliferation of Internet of Things (IoTs) technology is being seriously
impeded by insecure networks and data. An effective intrusion detection
model is essential for safeguarding the network and data security of IoTs.
In this pa per, a hybrid parallel intrusion detection model based on deep
learning (DL) called HPIDM features a three-layer parallel neural network
structure. Combining stacked Long short-term memory (LSTM) neural networks
with convolutional neural net work (CNN) and SK Ne… Show more
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