Unleashing Malware Analysis and Understanding With Generative AI
- 25 April 2024
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Security & Privacy
- Vol. 22 (3) , 12-23
Abstract
Dissecting low-level malware behaviors into human-readable reports, such as cyber threat intelligence, is time-consuming and requires expertise in systems and cybersecurity. This work combines dynamic analysis and artificial intelligence-generative transformation for malware report generation, providing detailed technical insights and articulating malware intentions.Keywords
This publication has 5 references indexed in Scilit:
- An Attacker’s Dream? Exploring the Capabilities of ChatGPT for Developing Malware2023
- Tactical Provenance Analysis for Endpoint Detection and Response Systems2020
- Dynamic Malware Analysis in the Modern Era—A State of the Art SurveyACM Computing Surveys, 2019
- HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows2019
- Understanding Linux Malware2018