vKernel: Enhancing Container Isolation via Private Code and Data-Reference-Cited by-同舟云学术

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vKernel: Enhancing Container Isolation via Private Code and Data

Published:2024-07 Issue:7 Volume:73 Page:1711-1723
ISSN:0018-9340
Container-title:IEEE Transactions on Computers
language:
Short-container-title:IEEE Trans. Comput.

Author:

Huang Hang¹^ORCID,Wang Honglei¹^ORCID,Rao Jia²^ORCID,Wu Song¹^ORCID,Fan Hao¹^ORCID,Yu Chen¹^ORCID,Jin Hai¹^ORCID,Suo Kun³^ORCID,Pan Lisong¹^ORCID

Affiliation:

1. National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. Department of Computer Science, University of Texas, Arlington, TX, USA

3. Department of Computer Science, Kennesaw State University, Kennesaw, GA, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/12/10552674/10494778.pdf?arnumber=10494778

Reference48 articles.

1. Docker: Lightweight Linux containers for consistent development and deployment;Merkel;Linux J.,2014

2. Secure Namespaced Kernel Audit for Containers

3. Security-Performance Trade-offs of Kubernetes Container Runtimes

4. Reducing Kernel Surface Areas for Isolation and Scalability

5. A Study on Container Vulnerability Exploit Detection

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