CPA: Accurate Cross-Platform Binary Authorship Characterization Using LDA-Reference-Cited by-同舟云学术

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CPA: Accurate Cross-Platform Binary Authorship Characterization Using LDA

Published:2020 Issue: Volume:15 Page:3051-3066
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Alrabaee Saed^ORCID,Debbabi Mourad,Wang Lingyu^ORCID

Funder

United Arab Emirates University Start-up

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/8833568/09032128.pdf?arnumber=9032128

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SepBIN: Binary Feature Separation for Better Semantic Comparison and Authorship Verification;IEEE Transactions on Information Forensics and Security;2024

2. Web content topic modeling using LDA and HTML tags;PeerJ Computer Science;2023-07-11

3. Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned;IEEE Transactions on Software Engineering;2023-04-01

4. Nation-State Threat Actor Attribution Using Fuzzy Hashing;IEEE Access;2023

5. Language and Platform Independent Attribution of Heterogeneous Code;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

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