Skip to main content
SAH
Back to projects
Project 03

Brute-Force Login Detection

Machine learning research published in IJICT.

MLSecurityResearch97.24% SVM classification accuracy · IJICT Vol. 9, Issue 1Visit live link

Overview

Published research paper titled "Detection of Brute-Force Login Attempts Using Machine Learning" in the Iraqi Journal of Information and Communications Technology (IJICT), Vol. 9, Issue 1, April 2026.

Publication Details

Research Focus

Investigates machine learning classification techniques to identify and mitigate automated brute-force authentication attacks in network traffic.