ProSPEC: Proactive Security Policy Enforcement for Containers

Hugo Kermabon-Bobinnec, Mahmood Gholipourchoubeh, S. Bagheri, Suryadipta Majumdar, Yosr Jarraya, M. Pourzandi, Lingyu Wang
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引用次数: 3

Abstract

By providing lightweight and portable support for cloud native applications, container environments have gained significant momentum lately. A container orchestrator such as Kubernetes can enable the automatic deployment and maintenance of a large number of containerized applications. However, due to its critical role, a container orchestrator also attracts a wide range of security threats exploiting misconfigurations or implementation flaws. Moreover, enforcing security policies at runtime against such security threats becomes far more challenging, as the large scale of container environments implies high complexity, while the high dynamicity demands a short response time. In this paper, we tackle this key security challenge to container environments through a proactive approach, namely, ProSPEC. Our approach leverages learning-based prediction to conduct the computationally intensive steps (e.g., security verification) in advance, while keeping the runtime steps (e.g., policy enforcement) lightweight. Consequently, ProSPEC can ensure a practical response time (e.g., less than 10 ms in contrast to 600 ms with one of the most popular existing approaches) for large container environments (up to 800 Pods).
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ProSPEC:容器的主动安全策略执行
通过为云原生应用程序提供轻量级和可移植的支持,容器环境最近获得了巨大的发展势头。像Kubernetes这样的容器编排器可以实现大量容器化应用程序的自动部署和维护。然而,由于容器编排器的关键作用,它也吸引了大量利用错误配置或实现缺陷的安全威胁。此外,在运行时针对此类安全威胁实施安全策略变得更具挑战性,因为容器环境的大规模意味着高复杂性,而高动态性要求较短的响应时间。在本文中,我们通过一种主动的方法(即ProSPEC)来解决容器环境的这一关键安全挑战。我们的方法利用基于学习的预测来提前执行计算密集型步骤(例如,安全验证),同时保持运行时步骤(例如,策略实施)的轻量级。因此,对于大型容器环境(多达800个pod), ProSPEC可以确保实际的响应时间(例如,小于10毫秒,而最流行的现有方法之一是600毫秒)。
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