开源治理的全链安全管控能力研究与实现
Open source governance:a solid foundation for ensuring network security
肖铭远1
作者信息
摘要
[目的/意义]网络安全在数字化时代变得至关重要.为了实现网络安全,网络专家和技术团队需要积极应对不断演进的安全威胁.开源治理是保障网络安全的关键组成部分,为企业和组织提供了强大的工具,以管理和维护软件生态系统的安全性.[方法/过程]探讨开源治理在网络安全中的关键性作用,重点介绍软件组件分析和交互应用安全测试两个关键领域,强调开源治理融入现有的开发流程,提供安全赋能、管理软件成分风险,并为研发人员提供第三方组件信息.[结果/结论]强调开源治理降低软件安全问题的修复成本,提供全流程解决方案以及自主可控性,为交流和探讨网络安全最前沿的问题,提供了一个好机会,以确保网络生态系统始终保有坚实的安全基石.
Abstract
[Purpose/Significance]Network security has become crucial in the digital age.In order to achieve network security,network experts and technical teams need to actively respond to evolving threats.Open source governance is a key component of ensuring network security,providing powerful tools for enterprises and organizations to manage and maintain the security of their software ecosystems.[Method/Process]This paper will explore the key role of open source governance in network security,focusing on two key areas:software component analysis(SCA)and interactive application security testing(IAST).We will provide a detailed introduction to the functions,implementation methods,and how these two areas have become a solid foundation for network security.In addition,we will emphasize how open source governance integrates into existing development processes,provides security empowerment,manages software component risks,and provides detailed information about third-party components for research and development personnel.[Results/Conclusion]Finally,we will emphasize how open source governance can reduce the cost of fixing software security issues,provide full process solutions,and provide autonomy and controllability.The Cybersecurity Expert Forum provides an excellent opportunity to exchange and explore the cutting-edge issues of cybersecurity,ensuring that our network ecosystem always maintains a solid security foundation.
关键词
网络安全/开源治理/软件组件分析/交互应用安全测试/信息安全Key words
network security/open source governance/software component analysis/interactive application security testing/information security引用本文复制引用
出版年
2024
NETL
NSTL
万方数据