A tree-based stacking ensemble technique with feature selection for network intrusion detection
Several studies have used machine learning algorithms to develop intrusion systems (IDS),
which differentiate anomalous behaviours from the normal activities of network systems. Due …
which differentiate anomalous behaviours from the normal activities of network systems. Due …
A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks
TJ Lucas, IS De Figueiredo, CAC Tojeiro… - IEEE …, 2023 - ieeexplore.ieee.org
Machine learning algorithms present a robust alternative for building Intrusion Detection
Systems due to their ability to recognize attacks in computer network traffic by recognizing …
Systems due to their ability to recognize attacks in computer network traffic by recognizing …
Iobt intrusion detection system using machine learning
B Alkanjr, T Alshammari - 2023 IEEE 13th Annual Computing …, 2023 - ieeexplore.ieee.org
Internet of Battlefield Things (IoBT) is a granular approach to military operational
effectiveness that draws in-spiration from the Internet of Things (IoT) paradigm. Rather than …
effectiveness that draws in-spiration from the Internet of Things (IoT) paradigm. Rather than …
GE-IDS: an intrusion detection system based on grayscale and entropy
D Liao, R Zhou, H Li, M Zhang, X Chen - Peer-to-Peer Networking and …, 2022 - Springer
An intrusion detection system (IDS) ensures cybersecurity. However, the existing IDSs face
challenges, such as low detection accuracy, complex data feature extraction and high …
challenges, such as low detection accuracy, complex data feature extraction and high …
Intrusion Detection System Using Ensemble Techinque
N Jain, MP Singh, K Chaurasia… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Intrusion detection systems, which inspect and analyze network data for signs of hostile
activity, are critical to computer network security. These systems are suggested to distinguish …
activity, are critical to computer network security. These systems are suggested to distinguish …