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Detection of Malicious Code Using Information Flow Analysis

Presentation
Dr. Will Klieber presented this project at the CMU SEI Research Review 2024.
Publisher

Software Engineering Institute

Topic or Tag

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Abstract

Detecting malicious code is a challenge, particularly when it’s implanted in otherwise legitimate software. If undetected, malware injected into legitimate software can result in costly compromises of computer systems, such as in the SolarWinds incident of 2020. This project aims to produce a tool to detect such malicious code to prevent system compromises. Our goal is to enable analysts throughout the DoD to detect malicious code before it can compromise DoD systems.