Toward Enhancing Sequence-Optimized Malware Representation With Context-Separated Bi-Directional Long Short-Term Memory and Proximal Policy Optimization-Reference-Cited by-同舟云学术

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Toward Enhancing Sequence-Optimized Malware Representation With Context-Separated Bi-Directional Long Short-Term Memory and Proximal Policy Optimization

Published:2024-09 Issue:5 Volume:21 Page:4376-4387
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Xie Yuhao¹^ORCID,Luo Xiong¹^ORCID,Sun Jiankun¹^ORCID

Affiliation:

1. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Scientific and Technological Innovation Foundation of Foshan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8858/10663874/10388400.pdf?arnumber=10388400

Reference35 articles.

1. Kaspersky security bulletin 2023. Statistics,2023

3. Backdoor Attack on Machine Learning Based Android Malware Detectors

4. Deep Learning and Visualization for Identifying Malware Families

5. Context-Aware Poly(A) Signal Prediction Model via Deep Spatial–Temporal Neural Networks

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