摘要
随着机器学习的不断进步和快速发展,机器学习在安全分析领域发挥着日益重要的作用。面对越来越复杂的威胁,安全厂家如何设计安全分析产品,用户如何从众多安全分析产品中选择真正有价值、适合自身的产品,成为焦点。利用不同层次案例进行安全分析实践,将理论与实践相结合,基于案例的安全分析方法实践阐述安全分析进化路线,从案例(use case)的角度出发,系统性地阐述了案例设计思路和方法,并指引基于案例开展合适的安全分析方法实践。
With the continuous advancement and rapid development of machine learning, machine learning plays an increasingly important role in the field of security analysis. In the face of increasingly complex threats, how security manufacturers design security analysis products, how users choose from a wide range of security analysis products that are truly valuable and suitable for their own, has become the focus. Different levels of cases are used to conduct safety analysis practices, combining theory with practice. Case-based security analysis methods are used to illustrate the evolutionary path of security analysis. From the perspective of the case, the case design ideas and methods are systematically expounded, and the practice of appropriate safety analysis methods based on the case is guided.
作者
张军
ZHANG Jun(China Pacific Insurance Co.,Ltd.,Shanghai 200233,China)
出处
《通信技术》
2019年第1期184-189,共6页
Communications Technology
关键词
安全分析
案例
数据源
机器学习
图分析
security analysis
use case
data source
machine learning
graph analysis
