NATWORK: Net-Zero self-adaptive activation of distributed self-resilient augmented services

NATWORK项目的目标是为智能网络和服务奠定基础，部署第一个经济可行、节能可行的基于生物智能的6G网络安全和弹性框架，采取整体方法，考虑跨部门商业环境中的所有因素，以应对出现的各种需求和挑战。TheNATWORK项目旨在基于弹性仿生学原理为6G网络开发一种新型的利用人工智能的自适应安全机制。目标是提高未来6G网络生态系统的延展性和自我恢复能力，以最低的能源成本提供增强和安全的服务。其主要前提是赋予6G生态系统各实体自我调节自身条件的能力，以提供符合服务sla的服务连续性。NATWORK的安全联邦学习架构将基于分散的防御性人工智能模型，这些模型嵌入到分解的6G网络物理层、智能edgenet接口卡和具有基于p4的可编程数据平面和先进DPU加速的RAN设备中，具有线速本地特征提取和人工智能模型训练。NATWORK旨在缓解的关键6G安全挑战包括移动目标防御和对事件的自适应响应，采用净零人工智能和可持续网络的节能安全，检测具有深度控制流监控的新形式的攻击，以及为有效载荷部署制定连续的安全措施，促进新形式的网络内操作和安全分布式计算的安全迁移。

The ambition of the NATWORK project is to set the foundations and deploy the very first economically realistic, energy efficient andviable bio-inspired AI-based 6G cybersecurity and resilience framework for intelligent networking and services, taking a holistic approachand considering all elements in a cross-sector business environment to address the diverse requirements and challenges that arise. TheNATWORK project aims to develop a novel AI-leveraged self-adaptive security mechanism for 6G networks based on resilient biomimicry principles. The goal is to improve the malleability and the self-resilience of future 6G network ecosystems to offer augmentedand secure services at the lowest energy costs. The principle premise is to empower various entities of 6G ecosystems with the ability toself-regulate their conditions to provide service continuity in compliance with service SLAs. The Secure Federated Learning architectureof NATWORK will be based on decentralized defensive AI models embedded in dis-aggregated 6G network physical layer, smart EdgeNetwork Interface Cards and RAN devices with P4-based programmable data plane and advanced DPU acceleration, with local featureextraction at wire-speed and AI model training. Among the key 6G security challenges that NATWORK aims to alleviate are MovingTarget Defense and adaptive response to incidents, the employment of Net Zero AI and energy-efficientsecurity forsustainable networks,the Detection of new forms of attacks bearing deep control flow monitoring as well as the elaboration of a continuum of security forpayload deployment fostering secure migration of novel forms of in-network operations and secure distributed computations.