Using Machine Learning Techniques for Accurate Attack Detection ...

In this scenario, Intrusion Detection Systems (IDS), based on signature-based or anomaly detection, are widely used to analyze network traffic.







PhD thesis - Inria
Their model was evaluated on the CIC-IDS2017 dataset, against an SVM-IDS model, Mukkamala, Janoski and Sung. (2002); Tao, Sun and Sun (2018), by exploiting ...
Real-Time Intrusion Detection via Machine Learning Approaches
As our third contribution, this research aims to benchmark CICIDS - 2017 dataset using our proposed ensemble-based feature selection technique ...
Intrusion Detection in the Automotive Domain - DTU Orbit
CIC-IDS2017 The ids?cic?od is trained to detect CIC-IDS2017 DoS samples and has a recall of 0.94 on non-adversarial samples, consistent with the ...



Autres Cours:

Deep Learning-Driven Behavioral Analysis for Real-Time Threat ...