Classifying Memory Based Injections using Machine Learning

Abstract

This research paper explores the application of machine learning techniques to classify memory-based injection attacks. By leveraging process list data, the study focuses on distinguishing between injected and non-injected processes. Through feature engineering and training a machine learning model, the research aims to enable accurate identification of memory injection, aiding in proactive threat detection and mitigating the risk of malicious activities in computer systems.