[HTML][HTML] Ensuring network security with a robust intrusion detection system using ensemble-based machine learning
MA Hossain, MS Islam - Array, 2023 - Elsevier
Intrusion detection is a critical aspect of network security to protect computer systems from
unauthorized access and attacks. The capacity of traditional intrusion detection systems …
unauthorized access and attacks. The capacity of traditional intrusion detection systems …
IoT Intrusion Detection System Based on Machine Learning
B Xu, L Sun, X Mao, R Ding, C Liu - Electronics, 2023 - mdpi.com
With the rapid development of the Internet of Things (IoT), the number of IoT devices is
increasing dramatically, making it increasingly important to identify intrusions on these …
increasing dramatically, making it increasingly important to identify intrusions on these …
LSTM-MI: Revolutionizing Intrusion Detection Through Adaptive Learning and Mutual Information Analysis
J Archana, AS Aneetha - 2024 Third International Conference …, 2024 - ieeexplore.ieee.org
This study introduces two innovative approaches to augment intrusion detection capabilities.
The first method employs Principal Component Analysis (PCA) for dimensionality reduction …
The first method employs Principal Component Analysis (PCA) for dimensionality reduction …
[PDF][PDF] ML AND IOT BASED ADAPTIVE TRAFFIC-MANAGEMENT SYSTEM FOR SMART CITIES
M PUSHPAVALLI - JOURNAL OF TECHNICAL EDUCATION, 2023 - isteonline.in
Everywhere in our daily lives, the Internet of Things (IoT) is quickly expanding. Buildings,
hospitals, transit systems, and other associated public and private surroundings all benefit …
hospitals, transit systems, and other associated public and private surroundings all benefit …