虚拟网络中的态势感知:ASTRID方法

A. Carrega, M. Repetto, Fulvio Risso, S. Covaci, A. Zafeiropoulos, Thanassis Giannetsos, Orazio Toscano
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引用次数: 4

摘要

基于云的服务通常遵循私有网络的相同逻辑结构。缺乏物理边界和对第三方基础设施安全机制的依赖通常会破坏对虚拟化应用程序整体安全级别的信心。将通用安全中间件的软件实例集成到云网络中有助于克服大多数疑虑,但会导致低效的解决方案。在本文中,我们描述了ASTRID项目背后的愿景。我们概念的新颖之处在于将检测算法从监控和检查任务中解耦,寻求与虚拟化框架更好的集成。我们简要地阐述了整个概念架构及其实现组件的基础。此外,我们还对这种新范式相对于现有方法带来的预期影响和机遇提出了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Situational Awareness in Virtual Networks: The ASTRID Approach
Cloud-based services often follow the same logical structure of private networks. The lack of physical boundaries and the dependence on third party's infrastructural security mechanisms often undermine the confidence in the overall security level of virtualized applications. Integrating software instances of common security middleboxes into cloud networks helps overcome most suspicions, but leads to inefficient solutions. In this paper, we describe the vision behind the ASTRID project. The novelty of our concept lies in decoupling detection algorithms from monitoring and inspection tasks, seeking better integration with virtualization frameworks. We briefly elaborate on the overall conceptual architecture and the foundation of its implementation components. Additionally, we give insights on the expected impacts and opportunities brought by this novel paradigm over the existing approaches.
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