PowerDuck：变电站网络攻击的GOOSE数据集
PowerDuck: A GOOSE Data Set of Cyberattacks in Substations
摘要：
全球电网越来越多地成为网络攻击的受害者，攻击者可能对关键基础设施造成巨大破坏。电网数字化和网络化的不断发展，加上对网络攻击的保护不足，进一步加剧了这一趋势。因此，安全工程师和研究人员必须通过不断改进安全措施来应对这些新风险。网络攻击期间的真实网络流量数据集在分析和理解此类攻击方面起着决定性作用。因此，本文介绍了PowerDuck，一个公开的安全数据集包含网络痕迹的GOOSE通信在物理变电站试验台。该数据集包括有攻击和没有攻击的各种场景的记录。此外，所有来自攻击者的网络数据包都被清楚地标记，以便于识别。因此，我们设想PowerDuck改进和补充现有的变电站数据集，这些数据集通常是综合生成的，从而提高电网的安全性。
英文摘要：
Power grids worldwide are increasingly victims of cyberattacks, where attackers can cause immense damage to critical infrastructure. The growing digitalization and networking in power grids combined with insufficient protection against cyberattacks further exacerbate this trend. Hence, security engineers and researchers must counter these new risks by continuously improving security measures. Data sets of real network traffic during cyberattacks play a decisive role in analyzing and understanding such attacks. Therefore, this paper presents PowerDuck, a publicly available security data set containing network traces of GOOSE communication in a physical substation testbed. The data set includes recordings of various scenarios with and without the presence of attacks. Furthermore, all network packets originating from the attacker are clearly labeled to facilitate their identification. We thus envision PowerDuck improving and complementing existing data sets of substations, which are often generated synthetically, thus enhancing the security of power grids.
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。
