自主智能网络防御代理实验平台:迈向协作社区方法(WIPP)

Benjamin A. Blakely
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引用次数: 2

摘要

网络防御面临越来越大的挑战,要跟上可能使用自动化或机器学习作为攻击策略一部分的攻击者。未来几年,自主防御系统将成为应对这一威胁的关键。我们介绍了正在进行的建立自主智能网络防御代理的最新工作。2021年秋季,北约向ACT展示了一架初始原型机,并继续为其增加额外的能力。处于当前状态的代理能够执行简单的、静态配置的响应操作,并在知识图中存储几种类型的观察(网络扫描、IDS警报、Netflow数据)。我们概述了这项工作的背景,详细介绍了去年秋天使用的演示场景,自那时以来的进展,以及该项目的未来路线图和协作策略,包括用于自动推理的强化学习方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Experimental Platform for Autonomous Intelligent Cyber-Defense Agents: Towards a collaborative community approach (WIPP)
Cyber defenses are increasingly challenged to keep up with attackers who might be using automation or machine learning as part of their attack strategies. Autonomous defensive systems will become critical in the coming years to respond to this threat. We present an update on ongoing work to build an autonomous intelligent cyber-defense agent. An initial prototype was demonstrated to NATO ACT in the fall of 2021, and work continues to add additional capabilities to it. The agent in its current state is capable of simple, statically-configured responsive actions as well as storing several types of observations (network scans, IDS alerts, Netflow data) in a knowledge graph. We outline the background for this work, detail the demonstration scenario used last fall, progress since then, and a future roadmap and collaborative strategy for this project including a reinforcement learning approach to automated reasoning.
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