Sun Receives Funding For Project Aimed At Leveraging Large Language Models For Enhanced Software Security Analysis & Malware Detection
Kun Sun, Professor, Information Sciences and Technology, College of Engineering and Computing (CEC), received funding for the project: “Leveraging Large Language Models for Enhanced Software Security Analysis and Malware Detection.”
Sun is proposing an innovative framework leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to enhance software security analysis and malware detection for Android applications.
The proliferation of Android apps has led to an increase in potentially harmful software, making efficient and accurate security analysis crucial.
Current methods rely heavily on human experts, which is time-consuming and limited in scope.
While machine learning approaches show promise, they often lack explainability, hindering result verification.
The proposed framework aims to overcome these limitations by integrating LLMs with RAG systems to analyze Android application behavior.
Through the development of a system capable of uncovering hidden code insights and delivering explainable results, this research advances efforts to build more resilient and secure digital ecosystems.
Sun received $50,000 from the Virginia Innovation Partnership Authority for this project. Funding began in Jan. 2025 and will end in Jan. 2026.
###
ABOUT GEORGE MASON UNIVERSITY
George Mason University is Virginia’s largest public research university. Located near Washington, D.C., Mason enrolls more than 40,000 students from 130 countries and all 50 states. Mason has grown rapidly over the past half-century and is recognized for its innovation and entrepreneurship, remarkable diversity, and commitment to accessibility. In 2023, the university launched Mason Now: Power the Possible, a one-billion-dollar comprehensive campaign to support student success, research, innovation, community, and stewardship. Learn more at gmu.edu.