Enhancing IoT Network Defense: A Comparative Study of Machine Learning Algorithms for Attack Classification

A McNair, D Precious-Esue, S Newson… - … Conference on Software …, 2024‏ - Springer
Abstract As the Internet of Things (IoT) continues to expand rapidly, securing these
interconnected devices and networks from cyber threats has become a critical challenge …

Adversarial Attack Optimization and Evaluation for Machine Learning-Based Dark Web Traffic Analysis

N Harrison, H Broome, Y Shrestha, A Robles… - … Conference on Software …, 2024‏ - Springer
Abstract Machine learning (ML) is quickly becoming one of the most transformative
technologies in the field of computing. Applications of ML are wide-spread and growing …

Optimizing Network Security via Ensemble Learning: A Nexus with Intrusion Detection

A Baluguri, V Pasumarthy, I Roy, B Gupta… - Journal of Information …, 2024‏ - scirp.org
Network intrusion detection systems need to be updated due to the rise in cyber threats. In
order to improve detection accuracy, this research presents a strong strategy that makes use …

Improve the effectiveness of machine learning models in detecting website phishing using morphological features in URL analysis

DT Mai, NV Hùng - Journal of Science and Technology on Information …, 2024‏ - isj.vn
Tóm tắt With the proliferation of the Internet, the emergence of various threats has become
increasingly prevalent, particularly the danger posed by phishing websites. These websites …

A Comparative Study of Machine Learning

A McNair, D Precious-Esue, S Newson… - Software and Data …, 2025‏ - books.google.com
As the Internet of Things (IoT) continues to expand rapidly, secur-ing these interconnected
devices and networks from cyber threats has become a critical challenge. This research …

Adversarial Attack Optimization

N Harrison, H Broome, Y Shrestha… - Software and Data …, 2025‏ - books.google.com
Machine learning (ML) is quickly becoming one of the most transformative technologies in
the field of computing. Applications of ML are wide-spread and growing exponentially …