A comprehensive study on learning-based PE malware family classification methods-Reference-Cited by-同舟云学术

A comprehensive study on learning-based PE malware family classification methods

Published:2021-08-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Ma Yixuan¹,Liu Shuang²,Jiang Jiajun²,Chen Guanhong²,Li Keqiu²

Affiliation:

1. State Key Laboratory of Communication Content Cognition, China / Tianjin University, China

2. Tianjin University, China

Funder

the NSFC-General Technology Basic Research Joint Funds under Grant

The NSFC Youth Funds under Grant

State Key Laboratory of Communication Content Cognition fund

the National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3468264.3473925

Reference66 articles.

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2. 2017. IDA 7.0. https://www.hex-rays.com/products/ida/news/ 2017. IDA 7.0. https://www.hex-rays.com/products/ida/news/

3. 2020. PyTorch. https://pytorch.org/ 2020. PyTorch. https://pytorch.org/

4. 2021. MalwareBazaar. https://bazaar.abuse.ch/ 2021. MalwareBazaar. https://bazaar.abuse.ch/

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