Using deep graph learning to improve dynamic analysis-based malware detection in PE files

Author:

Nguyen Minh Tu,Nguyen Viet HungORCID,Shone Nathan

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Hardware and Architecture,Software,Computer Science (miscellaneous)

Reference48 articles.

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4. Sikorski, M., Honig, A.: Practical Malware Analysis: The Hands-on Guide to Dissecting Malicious Software, 1st edn. No Starch Press, USA (2012)

5. He, K., Kim, D.-S.: Malware detection with malware images using deep learning techniques. In: 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering (TrustCom/BigDataSE), pp. 95–102 (2019). https://doi.org/10.1109/TrustCom/BigDataSE.2019.00022

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2. A Robust Long Short-Term Memory Model for Classification of Malware Analysis;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

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