Autonomic security for zero trust networks

Dayna Eidle, S. Ni, C. DeCusatis, Anthony Sager
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引用次数: 22

Abstract

There is a long-standing need for improved cybersecurity through automation of attack signature detection, classification, and response. In this paper, we present experimental test bed results from an implementation of autonomic control plane feedback based on the Observe, Orient, Decide, Act (OODA) framework. This test bed modeled the building blocks for a proposed zero trust cloud data center network. We present test results of trials in which identity management with automated threat response and packet-based authentication were combined with dynamic management of eight distinct network trust levels. The log parsing and orchestration software we created work alongside open source log management tools to coordinate and integrate threat response from firewalls, authentication gateways, and other network devices. Threat response times are measured and shown to be a significant improvement over conventional methods.
零信任网络的自主安全
长期以来,人们一直需要通过攻击签名检测、分类和响应的自动化来改善网络安全。在本文中,我们给出了基于观察、定位、决定、行动(OODA)框架的自主控制平面反馈实现的实验测试平台结果。该试验台为提议的零信任云数据中心网络构建模块建模。我们给出了将具有自动威胁响应和基于数据包的身份验证的身份管理与八个不同网络信任级别的动态管理相结合的试验测试结果。我们创建的日志解析和编排软件与开源日志管理工具一起工作,以协调和集成来自防火墙、身份验证网关和其他网络设备的威胁响应。对威胁响应时间进行了测量,并显示出比传统方法有显著改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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