MLP4NIDS: An Efficient MLP-Based Network Intrusion Detection for CICIDS2017 Dataset Arnaud Rosay1(B), Florent Carlier2, and Pascal Leroux2 1 STMicroelectronics, 11 rue Pierre-F´elix Delarue, 72100 Le Mans, France arnaud.rosay@st.com 2 CREN, Le Mans Universit´e, Avenue Olivier Messiaen...
About Dataset No description available Usability info 1.76 License Unknown Expected update frequency Not specified Tags An error occurred: Unexpected end of JSON input lightbulb See what others are saying about this dataset What have you used this dataset for?
CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (
MLP4NIDS: An Efficient MLP-Based Network Intrusion Detection for CICIDS2017 DatasetMore and more embedded devices are connected to the internet and therefore are potential victims of intrusion. While machine learning algorithms have proven to be robust techniques, it is mainly achieved with traditional...
Model Description.Multi-layer perceptron is a fully connected, feed-forward neural network classifier. Figure2shows the architectural design of our model. Inputs correspond to the normalized values of the selected features of the original dataset. Both hidden layers contain 256 nodes. The classifier ...