F1 reaches 0.99 on IoT-23 dataset and 1.0 on Kaggle dataset, both of which have good performance. The experimental results show that the proposed model can effectively identify the attack traffic from the massive traffic, better prevent the attack of hackers on the appli...
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 heterogeneity typical to modern-day network traffic. ...
It also achieves 99.70% binary and 99.41% multi classification accuracy on the large-scale dataset CICIoT2023., indicating that this solution can effectively detect large-scale IoT attacks and improve network security.Finally, the effectiveness of the selected features is verified by quantifying the ...
In this regard, our proposed research work exploited the benchmark Kaggle IoT dataset. Performance evaluation metrics F1-Score, MCC, AUC-PR, and AUC-ROC are also evaluated, along with Accuracy and Precision. The comprehensive workflow is presented in Fig. 2. Figure 2 A brief overview of the...
For the CIC-IDS2017 dataset accuracy was 99.23%, detection rate was 99.26%, false alarm rate was 0.013, Specificity was 98.65, and precision was 99.92. In [11], the GTO-BSA algorithm the performance comparison of various algorithms was done in terms of accuracy, sensitivity, specificity, ...
In the internet of things (IoT), high-dimensional time series data are generated continuously and recorded from different data sources; moreover, these time series are characterized by intrinsic changes known as concept drifts. Beside, decision-making in IoT applications may often involve multiple fa...
The Kaggle repository is where the dataset was gathered. They used precision and accuracy as metrics to gauge how effective their job was. They used the artificial neural network K Nearest Neighbor, logistic regression, and SVM as their methods. To achieve the desired outcomes, they have each ...
[31] Kaggle Integrating the ANN and Kriging SO2 and PM2.5 removal of Null values, redundant data elimination, AR and ARIMA, and MSE R and MATLAB In Nagpur, the concentration of SO2 is dead. Also, this is improved in Mumbai and Pune. [32] India dataset NNs and Support Vector Machine PM...
The dataset generated and analyzed during the current study are available in the Kaggle repository, (https://www.kaggle.com/datasets/mohamedamineferrag/edgeiiotset-cyber-security-dataset-of-iot-iiot). The dataset analyzed during the current study is available from the corresponding author upon rea...
identify faulty equipment, and determine which inverters are underperforming. A couple of months ago a dataset was added to Kaggle that has IoT sensor data describing local weather conditions and inverter efficiency from two solar power plants in India and sampled every 15 minutes over the course ...