Kernel-Level Rootkits Features to Train Learning Models Against Namespace Attacks on Containers-Reference-Cited by-同舟云学术

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Kernel-Level Rootkits Features to Train Learning Models Against Namespace Attacks on Containers

Published:2020-08 Issue: Volume: Page:
ISSN:
Container-title:2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)
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Author:

Lee Wonjun,Nadim Mohammad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9166907/9170948/09170970.pdf?arnumber=9170970

Cited by 4 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. Leveraging machine learning techniques for the identification of Trojans in container images;AIP Conference Proceedings;2024

2. Identifying Vulnerabilities in Docker Image Code using ML Techniques;2022 2nd Asian Conference on Innovation in Technology (ASIANCON);2022-08-26

3. Analysis of Identity Access Management Controls in IoT Systems;2022 IEEE 7th International conference for Convergence in Technology (I2CT);2022-04-07

4. A Review on Learning-based Detection Approaches of the Kernel-level Rootkit;2021 International Conference on Engineering and Emerging Technologies (ICEET);2021-10-27

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