… neural network, and long short-term memory using the CIC-IDS 2017 dataset. … using
intrusion detection system, intrusion prevention system [2]. An intrusion detection system (IDS) is a …

… The evaluation results on three popular IDS datasets (IoTID20, CIC-IDS-2017, and BOT-IoT)
indicate our proposal could detect seven common cyberattacks targeting IoT devices with …

… This survey will focus on two new real traffic datasets: the CSE-CIC-IDS 2018 dataset and
the Bot-IoT dataset. Table 1 also presents an analytical comparison of the accuracy results of …

… IDS. They used J48, machine learning algorithms for generating effective rules to support
lightweight IDS … CICFlowMeter is a network traffic flow generator distributed by CIC that …

… The created architecture uses the intrusion detection datasets from CIC-IDS-2018, BoT-IoT,
and ToN-IoT to evaluate the suggested multi-layered approach. Finally, the new design …

… In the CIC-DDOS2019 data set, our method reaches more than 98.6%. At the same time,
the … in edge-computingassisted Internet of Things,” IEEE Internet Things J., vol. 8, no. 6, pp. …

… model using machine learning and deep learning, as shown in Figure 3, we compare
several advanced intrusion detection models that use the CSE-CIC-IDS-2018 dataset. Our two-…

… Our evaluation results on three popular IDS datasets—IoTID20, CIC-IDS-2017, and BOT-IoT—demonstrate
that our proposed approach is robust under various adversarial attack …

… data set is not entirely suitable for verifying the performance of IDS models. In order to further
verify the effectiveness of the proposed model, we also consider the CIC-IDS2017 data set. …

… The CIC-IDS 2017 dataset was used to test the effectiveness of the proposed system, PSO
classifier was used for features extraction to reduce the features of the dataset to only the …