开源网络安全项目中的许可证合规性
License Compliance in Open Source Cybersecurity Projects
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中文总结 AI 辅助
本研究分析200多个开源网络安全项目，发现宽松许可证项目存在严格许可证污染及大量代码缺乏版权归属，旨在帮助管理者、社区和企业家理解许可证合规风险并改进决策。
中文摘要 AI 辅助
网络安全软件的开发者经常在其商业软件产品中包含并依赖开源软件包。在开源代码被吸收到专有产品之前，开发者必须检查软件包的许可证，以确定该项目是否采用宽松许可证，从而允许商业友好的继承和再分发。然而，存在一种风险，即开源软件包的许可证可能因被静默混入带有严格许可证的开源代码而不准确，这些代码可能禁止商业衍生作品的销售或保密。商业产品的污染可能导致昂贵的修复成本、对公司声誉的损害以及高昂的法律费用。在本文中，我们报告了对200多个开源网络安全项目的初步分析，以识别最常用的许可证类型和编程语言，并寻找可能被严格许可材料污染（即包含商业不友好代码）的宽松许可开源项目的证据。我们的分析识别出在宽松许可的开源项目中存在严格许可证污染的情况。此外，我们发现很大比例的代码缺乏版权归属。我们期望这项研究的结果将：i) 为管理者和开发者提供对污染如何发生的理解，ii) 为开源社区提供关于如何通过在代码中包含许可证和版权信息来更好地保护其知识产权的理解，以及iii) 为企业家提供关于开源网络安全领域在许可和污染方面的理解，以及这些因素如何影响关于网络安全软件架构的决策。
英文摘要
Developers of cybersecurity software often include and rely upon open source software packages in their commercial software products. Before open source code is absorbed into a proprietary product, developers must check the package license to see if the project is permissively licensed, thereby allowing for commercial-friendly inheritance and redistribution. However, there is a risk that the open source package license could be inaccurate due to being silently contaminated with restrictively licensed open source code that may prohibit the sale or confidentiality of commercial derivative work. Contamination of commercial products could lead to expensive remediation costs, damage to the company's reputation, and costly legal fees. In this article, we report on our preliminary analysis of more than 200 open source cybersecurity projects to identify the most frequently used license types and languages and to look for evidence of permissively licensed open source projects that are likely contaminated by restrictive licensed material (i.e., containing commercial-unfriendly code). Our analysis identified restrictive license contamination cases occurring in permissively licensed open source projects. Furthermore, we found a high proportion of code that lacked copyright attribution. We expect that the results of this study will: i) provide managers and developers with an understanding of how contamination can occur, ii) provide open source communities with an understanding on how they can better protect their intellectual property by including licenses and copyright information in their code, and iii) provide entrepreneurs with an understanding of the open source cybersecurity domain in terms of licensing and contamination and how they affect decisions about cybersecurity software architectures.
