基于本体的人工智能系统和应用网络安全框架

Future Internet Pub Date : 2024-02-22 DOI:10.3390/fi16030069
Davy Preuveneers, Wouter Joosen
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引用次数: 0

摘要

本体有可能在网络安全领域发挥重要作用,因为它们能够提供一种结构化和标准化的方式,以语义表示和组织有关领域的知识。它们有助于对各种网络安全概念和属性之间的复杂关系进行明确建模。利用这些知识,它们为设计更加智能和自适应的网络安全系统奠定了基础。在这项工作中,我们提出了一个基于本体的网络安全框架,该框架扩展了众所周知的网络安全本体,以专门建模和管理强加在依赖人工智能(AI)的应用程序、系统和服务上的威胁。更具体地说,我们的工作重点是记录流行的机器学习(ML)威胁和应对措施,包括新出现的攻击规避现有防御的机制以及它们之间的军备竞赛。在人工智能威胁不断扩大的情况下,这项工作的目标是系统地将知识体系正规化,以补充人工智能赋能应用的现有分类法和威胁建模方法,并利用增强的推理能力促进其自动评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Ontology-Based Cybersecurity Framework for AI-Enabled Systems and Applications
Ontologies have the potential to play an important role in the cybersecurity landscape as they are able to provide a structured and standardized way to semantically represent and organize knowledge about a domain of interest. They help in unambiguously modeling the complex relationships between various cybersecurity concepts and properties. Leveraging this knowledge, they provide a foundation for designing more intelligent and adaptive cybersecurity systems. In this work, we propose an ontology-based cybersecurity framework that extends well-known cybersecurity ontologies to specifically model and manage threats imposed on applications, systems, and services that rely on artificial intelligence (AI). More specifically, our efforts focus on documenting prevalent machine learning (ML) threats and countermeasures, including the mechanisms by which emerging attacks circumvent existing defenses as well as the arms race between them. In the ever-expanding AI threat landscape, the goal of this work is to systematically formalize a body of knowledge intended to complement existing taxonomies and threat-modeling approaches of applications empowered by AI and to facilitate their automated assessment by leveraging enhanced reasoning capabilities.
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