Machine Learning Research

Enhanced Machine Learning Model

Since we at the time didn't have more malware logs, we decided to remove non-malware logs. This shows that if we recieve more trojan malware logs, we would be able to make our model more accurate and that our project overall has room to grow.

Original Machine Learning Implementation

The initial implementation of our machine learning model, establishing the foundation for our research. This version helped us identify areas of improvements such as finding ways to work around found issues such as data bias towards non-malware data.

Mac Malware Analysis Research

Research poster presenting findings on Mac malware detection and analysis techniques. This study explores innovative approaches to identifying and mitigating security threats.

Presentation submitted for IEEE Best Mid Hudson Valley Capstone Project Award

Updated Research Poster; Presented at NYCWIC (2025) & CURSCA (2025)

Research poster presenting findings on Mac malware detection and analysis techniques. This study explores innovative approaches to identifying and mitigating security threats.

Overall Goals for the Malware ML project

Overall, the project would lead to the creation of a malware detection system for Apple Macbook viruses. The idea currently is to achieve this by using Mult-level Classification.