When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection-Reference-Cited by-同舟云学术

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When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection

Published:2021-04-07 Issue: Volume: Page:
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Container-title:2021 22nd International Symposium on Quality Electronic Design (ISQED)
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Author:

He Zhangying,Miari Tahereh,Makrani Hosein Mohammadi,Aliasgari Mehrdad,Homayoun Houman,Sayadi Hossein

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9424228/9424248/09424330.pdf?arnumber=9424330

Cited by 27 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. Comprehensive Review of Advanced Machine Learning Techniques for Detecting and Mitigating Zero-Day Exploits;ICST Transactions on Scalable Information Systems;2024-06-26

2. Comprehensive Review of Advanced Machine Learning Techniques for Detecting and Mitigating Zero-Day Exploits;EAI ENDORSED TRANS S;2024

3. Improving Memory Malware Detection in Machine Learning With Random Forest-Based Feature Selection;Advances in IT Standards and Standardization Research;2024-05-31

4. Redefining Trust: Assessing Reliability of Machine Learning Algorithms in Intrusion Detection Systems;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

5. Research on the influence mechanism of fluid control valve on the production of segmented horizontal wells and the balanced gas production control model: A case analysis of Sichuan basin natural gas;Energy;2024-05

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