The Internet of Things (IoT) is one of the main research fields in the Cybersecurity domain. This is due to (a) the increased dependency on automated device, and (b) the inadequacy of general-purpose Intrusion Detection Systems (IDS) to be...
MQTT-IoT-IDS2020 Dataset [5] + + + + + – Proposed Dataset (DoS/DDoS-MQTT-IoT)11 + + + + + + 11 https://www.kaggle.com/datasets/alaaalatram/dosddos-mqtt-iot?datasetId=3157,581. The DARPA9, KDD99 and CAIDA datasets are legacy datasets that may not reflect the complexity and ...
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Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study (MQTT-IoT-IDS2020 Dataset)The Internet of Things (IoT) is one of the main research fields in the Cybersecurity domain. This is due to (a) the increased dependency on automated device, and (b) the inadequacy of ...
We have used the MQTT-IoT-IDS2020 dataset to analyze and measure the model's performance. The test results are promising and prove that the proposed scheme can identify potential intrusions in the MQTT networks.doi:10.1007/s11277-024-10984-wDandapat, Asimkiran...
The performance of binary classification of the model is compared with other Deep Neural Network (DNN) with the help of two abstract level features such as bidirectional flow and unidirectional flow from a publicly available dataset MQTT-IoT-IDS2020. The proposed model achieves superior results to ...
Figure 12.Confusion matrices with validation dataset. Therefore, with the validation of the models, it is possible to confirm the training and test results, where the models with all columns and Set 1 were the best. Since the model is for IoT devices, a lightweight classifier is important du...
(IDS) based on the deployment of different one-class classifiers to prevent attacks over the Internet of Things (IoT) protocol Message Queuing Telemetry Transport (MQTT). The utilization of real data sets has allowed us to train the one-class algorithms, showing a remarkable performance in ...