机器学习中的威胁建模

Manuel Raddatz
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摘要

由于日益全球化、技术进步和网络化程度的提高,威胁的数量不断增加。安全需求通常只扮演次要角色。随着新版本的《信息技术安全法》的出台,其范围已经扩大,受影响的公司需要采取措施来提高信息技术的安全性。威胁建模是一个结构化的过程,已经在安全硬件和软件开发中使用。攻击的性质和生命周期时间都与传统的软件开发不同。本文从机器学习结构出发,为面向系统的威胁建模视角提供了一种自顶向下的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Threat Modeling in Machine Learning
Because of the increasing globalization, the technological progress and the degree of networking, the number of threats is constantly increasing. Security requirements often only play a minor role. With the new version of the IT Security Act, its scope has been extended and affected companies need to take actions to increase IT security. Threat modeling is a structured process that is already used in secure hardware and software development. Both the nature of the attacks and the life cycle time differ from traditional SW development. Starting from the machine learning structure, this article offers a top-down approach to the system-oriented perspective of threat modeling.
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