ABSTRACT: Intrusion detection systems are used to find the best possible ways to protect IoT networks and the need for
defense methods that detect attackers. Intrusion detection systems help the network to resist external attacks.However, it is difficult to use traditional IDS techniques in IoT due to its specific characteristics such as resource-
intensive devices, limited specific protocol stacks, and standards. In fact, the new features and mechanisms of IoTcannot be provided by conventional security protocols used in the Internet. In the study deep learning algorithm,
classification is done...
Keywords: IOT, Feature Selection, Recurrent Neural Networks, GRU
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