科研伦理调查与标杆建设
Investigation on Research Ethics and Building a Benchmark
摘要：
在处理前沿网络安全研究时，特别是从攻击者或红色团队的角度进行操作时，有时需要考虑道德如何发挥作用。目前没有专门针对网络安全的道德标准，这尤其是日本对抗性网络安全研究滞后的原因之一。在这项研究中，使用机器学习和手动方法，我们从过去的顶级会议论文中提取了研究伦理的最佳实践。利用这些知识，我们构建了一个网络安全研究的伦理知识库。这样的知识库可以用来正确区分灰色区域的研究，使它不会被错误地禁止。使用我们为我们的知识库创建的决策树风格的用户界面，研究人员可能能够有效地确定他们的研究的哪些方面需要伦理考虑。在这项工作中，作为初步步骤，我们只关注网络安全会议所涵盖的一部分研究领域，但我们的结果适用于任何研究领域。
英文摘要：
When dealing with leading edge cyber security research, especially when operating from the perspective of an attacker or a red team, it becomes necessary for one to at times consider how ethics comes into play. There are currently no cyber security-specific ethics standards, which in particular is one reason more adversarial cyber security research lags behind in Japan. In this research, using machine learning and manual methods we extracted best practices for research ethics from past top conference papers. Using this knowledge we constructed an ethics knowledge base for cyber security research. Such a knowledge base can be used to properly distinguish grey-area research so that it is not wrongly forbidden. Using a decision tree-style user interface that we created for our knowledge base, researchers may be able to efficiently identify which aspects of their research require ethical consideration. In this work, as a preliminary step we focused on only a portion of the areas of research covered by cyber security conferences, but our results are applicable to any area of research.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
