Optimizing IoT Intrusion Detection Using Balanced Class Distribution, Feature Selection, and Ensemble Machine Learning Techniques
MB Musthafa, S Huda, Y Kodera, MA Ali, S Araki… - Sensors, 2024 - mdpi.com
Internet of Things (IoT) devices are leading to advancements in innovation, efficiency, and
sustainability across various industries. However, as the number of connected IoT devices …
sustainability across various industries. However, as the number of connected IoT devices …
Efficient Intrusion Detection Through the Fusion of AI Algorithms and Feature Selection Methods
MM Obaid, MH Saleh - Journal of Engineering, 2024 - joe.uobaghdad.edu.iq
With the proliferation of both Internet access and data traffic, recent breaches have brought
into sharp focus the need for Network Intrusion Detection Systems (NIDS) to protect …
into sharp focus the need for Network Intrusion Detection Systems (NIDS) to protect …
Botnet Attacks Detection using Image Processing Approach: Sequential Neural Network and Feature Selection
TOD Putra, T Ahmad - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Botnets are networks of compromised computers that are controlled by an attacker for
malicious purposes such as spamming attacks, DDoS, or data theft. Botnet attacks detection …
malicious purposes such as spamming attacks, DDoS, or data theft. Botnet attacks detection …
Detecting security breach using artificial neural network
MS Hyder - 2023 - norma.ncirl.ie
Networks are a part of almost every important sector in the world today. The amount of data
being transferred through these networks is huge, and it is important that this data be …
being transferred through these networks is huge, and it is important that this data be …