Binary Code Similarity Detection through LSTM and Siamese Neural Network

Binary Code Similarity Detection through LSTM and Siamese Neural Network

Given the fact that many software projects are closed-source, analyzing security-related vulnerabilities at the binary level is quintessential to protect computer systems from attacks of malware. Binary code similarity detection is a potential solution for detecting malware from the binaries generat...

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Bibliographic Details
Main Authors: Zhengping Luo, Tao Hou, Xiangrong Zhou, Hui Zeng, Zhuo Lu
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2021-11-01
Series:EAI Endorsed Transactions on Security and Safety
Subjects:
malware detection
binary analysis
lstm
siamese neural network
similarity detection
Online Access:https://eudl.eu/pdf/10.4108/eai.14-9-2021.170956

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https://eudl.eu/pdf/10.4108/eai.14-9-2021.170956

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