IUNO项目内部工业网络工程咨询
Angriffserkennung für industrielle Netzwerke innerhalb des Projektes IUNO
摘要：
产业网络的互联性日益增强是当前的热点问题之一。研究机构和工业界都在处理这一问题。为了实现第四次工业革命，生产设施之间的全面连接是必要的。然而，由于这种连接性，出现了大量新的攻击载体。在国家工业信息技术安全参考项目（IUNO）中，这些风险和威胁得到了解决，并制定了解决方案。这些解决方案特别适用于中小型企业，这些企业在员工和资金方面没有大公司那么多的手段。这些企业应该能够毫不费力地实施解决方案。安全解决方案源自四个用例，并以原型方式实现。这项工作的另一个主题是德国人工智能研究中心的研究领域，这些研究领域解决了给定的挑战，以及在IUNO背景下开发的解决方案。除了项目本身，提出了一种分布式网络数据汇集的方法，作为网络安全异常检测的前提。
英文摘要：
The increasing interconnectivity of industrial networks is one of the central current hot topics. It is adressed by research institutes, as well as industry. In order to perform the fourth industrial revolution, a full connectivity between production facilities is necessary. Due to this connectivity, however, an abundance of new attack vectors emerges. In the National Reference Project for Industrial IT-Security (IUNO), these risks and threats are addressed and solutions are developed. These solutions are especially applicable for small and medium sized enterprises that have not as much means in staff as well as money as larger companies. These enterprises should be able to implement the solutions without much effort. The security solutions are derived from four use cases and implemented prototypically. A further topic of this work are the research areas of the German Research Center for Artificial Intelligence that address the given challenges, as well as the solutions developed in the context of IUNO. Aside from the project itself, a method for distributed network data collection aggregation is presented, as a prerequisite for anomaly detection for network security.
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。
