Towards A Framework for Preprocessing Analysis of Adversarial Windows Malware

Author:

Schultz Nicholas1,Duby Adam1

Affiliation:

1. United States Military Academy,West Point,NY,USA

Funder

United States Military Academy

Publisher

IEEE

Reference29 articles.

1. Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

2. Metamorphic virus: Analysis and detection;konstantinou;Royal Holloway University of London,2008

3. From Hack to Elaborate Technique—A Survey on Binary Rewriting

4. No Need to Teach New Tricks to Old Malware: Winning an Evasion Challenge with XOR-based Adversarial Samples

5. Challenge of malware analysis: malware obfuscation techniques;singh;International Journal of Information Security Science,2018

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1. Extending Threat Playbooks for Cyber Threat Intelligence: A Novel Approach for APT Attribution;2023 11th International Symposium on Digital Forensics and Security (ISDFS);2023-05-11

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