管纪伟, 朱凌君, 张文勇. Research on micro-segmentation security of public cloud based on zero trust[J]. 2021, 34(12): 46-50+56.
DOI:
管纪伟, 朱凌君, 张文勇. Research on micro-segmentation security of public cloud based on zero trust[J]. 2021, 34(12): 46-50+56. DOI: 10.13992/j.cnki.tetas.2021.12.009.
Research on micro-segmentation security of public cloud based on zero trust
摘要
公有云因其成本低
灵活性高
在受到市场青睐的同时
网络安全方面也面临着极大的挑战。为解决传统网络边界保护中心资产方案的困境
本文介绍了零信任模型
从一个全新的角度审视了安全防范策略。以数据形式分析了零信任在受攻击面上的优势
并基于人工智能介绍了策略引擎的探索方法。阐述了以零信任为核心思想构建的微隔离应用方案
并分析了其面临的困境。随着基于零信任的微隔离的推广
公有云安全防护边界也将得到进一步拓宽。
Abstract
Public cloud has become more and more popular in the market due to its low cost and high flexibility. But then the cyber security is facing significant challenges. In order to solve the dilemma of the traditional network boundary protection center asset solution
this paper introduces the zero trust model
and examines the security defense strategy from a new perspective. It analyzes the advantages of zero trust on the attacked surface in the form of data
and introduces the exploration method of the strategy engine based on artificial intelligence. This paper also expounds the micro-segmentation application scheme based on the core idea of zero trust
and summarizes its difficulties. With the promotion of zero trust micro-segmentation
the public cloud security protection boundary will also be further broadened.