4 days ago · For the BoT-IoT dataset, we attained perfect scores of 100% across all metrics. These outcomes indicate that the values obtained from our analysis demonstrate ...

6 days ago · Common preprocessing techniques for Bot-IoT datasets include validation analysis on training data, testing on testing data with labels, and applying K ...

2 days ago · balance exploration and exploitation. Tested on standard UCI datasets,. this method shows high botnet detection accuracy with a low error ...

7 days ago · This model was evaluated using four unique datasets, and it performed well when evaluated against the CICIDS-2017, NSL-KDD, and UNSWNB-15 data sets. However, ...

1 day ago · This article outlines the development and implementation of an intrusion detection system (IDS) using machine learning to detect online anomalies in network ...

7 days ago · ... IoT networks quickly and accurately. The suggested method is evaluated using the Bot-IoT dataset, and the outcomes demonstrate notable gains in detection ...

2 days ago · This custom dataset, which is built using Contiki Cooja Simulator, aims to mimic real-world IoT scenario impacted by blackhole, sinkhole, flooding and version ...

4 days ago · We verify our proposal on the recently-published Bot-IoT dataset, making inferences between unknown attacks and four pertinent attack categories (DDoS, DoS, ...

4 days ago · Through a comprehensive analysis, this study demonstrates how proactive threat hunting can contribute to the development of a more secure, sustainable, and user ...

4 days ago · 1st: A brief review of the competition experience (Detail solution is on the way) ... Analysis of the winner's solutions of the competitions 2017-2018, 9, 4.