Graph Based Malware Analysis API
In the realm of cybersecurity malware detection and classification remain critical, challenges as adversarial techniques grow increasingly sophisticated. Graph Based Malware Analysis API is designed to improve the accuracy and efficiency of malware detection by utilizing graph structure to represent and analyze malicious behaviors. By leveraging Cuckoo Sandbox, malicious files are executed in a controlled environment, generating detailed reports on file behaviors and system interactions. These reports are transformed into graph representations, capturing intricate relationships and dependencies among various system components affected by malware. The resulting graphs serve as input for machine learning models trained to classify malware types, enhancing detection rates and reducing instances of “Unknown” classifications.
Authors
- R. Keerthana
- Rohith Vaidya K
- Harini Sri M
- Harsha Vardhan G
- N Digvijay
Institutions
- PES University (IN)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/icoei65986.2025.11013332
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00