Year: 2023
Type: article
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.
Authors: Doddagadduvalli Prasanna Amogh, Boraiah Ramesh, Rajanahally Jayakumar Bhuvan, Prasad Yash Vardhan, Anil Apekshith
Institution: Maulana Azad National Institute of Technology
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4388213666