面向应用程序感知沙箱裁剪的容器网络集中隔离

Yuki Nakata, Katsuya Matsubara, Ryosuke Matsumoto
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引用次数: 0

摘要

容器为cpu、内存、存储和网络等计算资源提供了轻量级和细粒度的隔离,但是它们的弱隔离引起了安全问题。因此,研究和开发工作的重点是重新设计真正的沙箱容器,使用系统调用拦截和硬件虚拟化技术(如gVisor和Kata containers)。然而,这种完全集成的沙箱可能会压倒容器的轻量级和可伸缩特性。在这项工作中,我们提出了一种部分强化的沙盒机制,集中加强网络隔离,重点关注容器化云和在其上运行的应用程序根据其独特的特性需要不同的隔离级别。我们描述了如何有效地实现该机制,以加强具有准直通管理程序的容器的网络隔离,并使用基准测试和实际应用程序报告评估结果。我们的研究结果表明,这种强化的网络隔离具有为容器化PaaS/FaaS云定制沙箱的良好潜力。
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Concentrated isolation for container networks toward application-aware sandbox tailoring
Containers provide a lightweight and fine-grained isolation for computational resources such as CPUs, memory, storage, and networks, but their weak isolation raises security concerns. As a result, research and development efforts have focused on redesigning truly sandboxed containers with system call intercept and hardware virtualization techniques such as gVisor and Kata Containers. However, such fully integrated sandboxing could overwhelm the lightweight and scalable nature of the containers. In this work, we propose a partially fortified sandboxing mechanism that concentratedly fortifies the network isolation, focusing on the fact that containerized clouds and the applications running on them require different isolation levels in accordance with their unique characteristics. We describe how to efficiently implement the mechanism to fortify network isolation for containers with a para-passthrough hypervisor and report evaluation results with benchmarks and real applications. Our findings demonstrate that this fortified network isolation has good potential to tailor sandboxes for containerized PaaS/FaaS clouds.
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