Feature Extraction Methods for Binary Code Similarity Detection Using Neural Machine Translation Models

Binary code similarity detection is an effective analysis technique for vulnerability, bug, and plagiarism detection in software for which the source code cannot be obtained. The recent proliferation of IoT devices has also increased the demand for similarity detection across different architectures...

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Bibliographic Details
Main Authors: Norimitsu Ito, Masaki Hashimoto, Akira Otsuka
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10254199/