Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring

Idris Zakariyya, Harsha K. Kalutarage, M. Omar Al-Kadri

Abstract: Highlights•Internet of Things (IoT) with resource limitations is vulnerable to cyberattacks.•Deep Neural Networks (DNNs) are able to detect security threats.•Security solutions based on DNNs are computationally demanding.•Efficiently robust DNNs can offer protection against cyber threats for IoT devices.•Implementing DNNs in federated learning can enhance security measures.