AI-based quantum-safe cybersecurity automation and orchestration for edge intelligence in future networks

Aarne Hummelholm
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Abstract

The AIQUSEC (AI-based quantum secure cyber security automation and orchestration in the edge intelligence of future networks) brings measurable advances to the cyber security of access and edge networks and their services, as well as Operational Service Technologies (OT). The research aims for significant cybersecurity scalability, efficiency, and effectiveness of operations through improved and enhanced device and sensor securities, security assurance, quantum security, and Artificial Intelligence (AI) based automation solutions. The new application scenarios of near future, the multiple stakeholders within each scenario, and the higher data volumes raise the need for novel cybersecurity solutions. Recently, OT cybersecurity threat landscape has become wider, due to the increase digitalization of services, the increase in virtualization and slicing of networks, as well as the increase in advanced cyber-attacks. Because of recent advances in computing power, AI in cybersecurity analyzing and validations is now becoming a reality. A significant part of currently used encryption technologies which secures communications and infrastructures might become instantly penetrable when quantum computing becomes available. Enabling quantum-safety migration development is a clear goal to the project. The research develops a state-of-the-art information security verification and validation environment that supports the integration of cyber security systems as a reference model, focusing on architectural choices and network connection from different vertical use cases. With the help of the platform and the reference model, common cybersecurity capabilities and requirements can be built, tested, and validated, as well as their fulfillment. In addition to the environment mentioned above, the results of the research are demonstrated and utilized in critical communication systems, water utilities, industrial environments, in physical access solutions and remote work. The developed platform can also be used for auditing devices, systems, and software’s in the future. The research integrates new quantum-safe artificial intelligence-based, hardware-hardened, and scalable cybersecurity solutions that have been validated in a standardized way. In this research, we also deal with the requirements of the EU sustainable growth program - issues related to the green transition.  
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未来网络中基于人工智能的量子安全网络安全自动化和边缘智能编排
AIQUSEC(未来网络边缘智能中基于人工智能的量子安全网络安全自动化和编排)为接入和边缘网络及其服务以及运营服务技术(OT)的网络安全带来了可衡量的进步。该研究旨在通过改进和增强设备和传感器安全性、安全保障、量子安全和基于人工智能(AI)的自动化解决方案,实现重大的网络安全可扩展性、效率和运营有效性。在不久的将来,新的应用场景、每个场景中的多个利益相关者以及更高的数据量都提高了对新型网络安全解决方案的需求。近年来,由于服务数字化程度的提高、网络虚拟化和切片的增加以及高级网络攻击的增加,OT网络安全威胁格局变得更加广泛。由于最近计算能力的进步,人工智能在网络安全分析和验证方面正在成为现实。当量子计算可用时,目前使用的用于保护通信和基础设施的加密技术的很大一部分可能会立即被破解。实现量子安全迁移开发是该项目的一个明确目标。该研究开发了一个最先进的信息安全验证和验证环境,支持作为参考模型的网络安全系统集成,重点关注来自不同垂直用例的架构选择和网络连接。在平台和参考模型的帮助下,可以构建、测试和验证常见的网络安全功能和需求,并实现它们。除上述环境外,研究结果还在关键通信系统、供水设施、工业环境、物理访问解决方案和远程工作中得到展示和利用。开发的平台还可以用于将来的设备、系统和软件审计。该研究集成了新的基于量子安全的人工智能、硬件强化和可扩展的网络安全解决方案,这些解决方案已以标准化的方式得到验证。在本研究中,我们还处理了欧盟可持续增长计划的要求-与绿色转型相关的问题。
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