… This paper has aimed to detect IoT network attacks by using machine learning methods. In …
because of its regular updates, wide attack diversity, and various network protocols. We used …

… The evaluation results demonstrated that the proposed approach can effectively detect
several IoT cybersecurity threats in a smart city. However, the training model was performed on …

… AI methods in the detection of a cybersecurity attack in the IoT… detecting cybersecurity attacks
within IoT systems. The methods have been categorized based on the cybersecurity threats …

… the computer security field. This paper proposes a machine learning-based intrusion detection
system (ML-IDS) for detecting IoT network attacks. … attacks and normal activities of network …

… To train a ML model for detecting and identifying, the … the cyber attack detection. With this
view, this work further investigates the key feature of MQTT traffic which helps the identification …

… Then, the deep learning approach is used to detect source … network is used to detect
malicious infections in IoT network … solution to measure the cybersecurity threats in IoT are better …

… discovery from the training data so that attacks are discriminated from benign traffic. This …
learning, to cybersecurity to enable the detection of attacks in social internet of things. The …

… We improve the accuracy and confidence of cybersecurity attack detection in IoT … This
work presents an automated network detection model for the Internet of Things. Our proposed …

… any targeted attacks in the IIoT environment. This paper proposes a cyber-attacks detection
… voting classifier are employed for efficient detection of cyber-attacks. In our proposed model, …

… by detecting attacks. … the detection of cyber attacks in IoT systems and devices in this paper.
Moreover, classification methods and different datasets used for cyber attack detection are …