On the feasibility of binary authorship characterization

Author:

Alrabaee Saed,Debbabi Mourad,Wang Lingyu

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications

Reference41 articles.

1. Oba2: an onion approach to binary code authorship attribution;Alrabaee;Digit. Invest.,2014

2. On leveraging coding habits for effective binary authorship attribution;Alrabaee,2018

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4. Big Game Hunting: Nation-State Malware Research,2015

5. A. Caliskan-Islam, F. Yamaguchi, E. Dauber, R. Harang, K. Rieck, R. Greenstadt, A. Narayanan, When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries, arXiv preprint arXiv:1512.08546.

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2. Identifying Authorship in Malicious Binaries: Features, Challenges & Datasets;ACM Computing Surveys;2024-04-30

3. DFRWS EU 10-year review and future directions in Digital Forensic Research;Forensic Science International: Digital Investigation;2024-03

4. Learning Explainable Multi-view Representations for Malware Authorship Attribution;2023 IEEE International Conference on Big Data (BigData);2023-12-15

5. Improving Security Tasks Using Compiler Provenance Information Recovered At the Binary-Level;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15

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