arrow
返回

vKernel: Enhancing Container Isolation via Private Code and Data

delete2024-07-01
delete0
delete
OA
AI
H
Hang Huang
H
Honglei Wang
J
Jia Rao *
S
Song Wu
H
Hao Fan *
C
Chen Yu
金
金海 (Hai Jin)
K
Kun Suo
L
Lisong Pan
DOI:10.1109/TC.2024.3383988delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Container technology is increasingly adopted in cloud environments. However, the lack of isolation in the shared kernel becomes a significant barrier to the wide adoption of containers. The challenges lie in how to simultaneously attain high performance and isolation. On the one hand, kernel-level isolation mechanisms, such as seccomp, capabilities, and apparmor, achieve good performance without much overhead, but lack the support for per-container customization. On the other hand, user-level and VM-based isolation offer superior security guarantees and allow for customization, since a container is assigned a dedicated kernel, but at the cost of high overhead. We present vKernel, a kernel isolation framework. It maintains a minimal set of code and data that are either sensitive or prone to interference in a vKernel Instance (vKI). vKernel relies on inline hooks to intercept and redirect requests sent to the host kernel to a vKI, where container-specific security rules, functions, and data are implemented. Through case studies, we demonstrate that under vKernel user-defined data isolation and kernel customization can be supported with a reasonable engineering effort. An evaluation of vKernel with micro-benchmarks, cloud services, real-world applications show that vKernel achieves good security guarantees, but with much less overhead.
Keyword:
Kernel
Containers
Security
Codes
Virtual machine monitors
Interference
Virtualization
Container
kernel
isolation
performance

期刊

IEEE Transactions on Computers 封面图
IEEE Transactions on Computers
IF:
3.8
论文数:
5.4K
被引数:
9.8K

机构

U
university system of georgia
学者数:
7.3W
论文数: 6.6W
被引数: 101
U
university of texas system
学者数:
18.5W
论文数: 15.6W
被引数: 210
引用论文

引用论文

err分享
err收藏
err分享
err收藏
err分享
err收藏
Architecture and self-assembly of the SARS-CoV-2 nucleocapsid protein
err
IF0
err2020-05-17
err0
errOAAI
errQiaozhen Ye; Alan M.V. West; Steve Silletti; Kevin D. Corbett
err分享
err收藏
学者 查看更多内容