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

NATWORK：分布式自恢复增强服务的净零自适应激活

• 批准号: 10101189
• 金额: $ 40.05万
• 依托单位: UNIVERSITY OF ESSEX
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10101189
• 关键词: NATWORK; Net; Zero; self; adaptive

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.

NatWORK项目的雄心是为智能网络和服务奠定基础并部署第一个经济上现实、能源高效和可行的基于生物启发的基于人工智能的6G网络安全和弹性框架，采取全面的方法并考虑跨行业商业环境中的所有要素，以应对出现的各种需求和挑战。NatWORK项目旨在基于弹性仿生原理为6G网络开发一种新型的AI杠杆自适应安全机制。目标是提高未来6G网络生态系统的延展性和自我弹性，以最低的能源成本提供增强的、安全的服务。基本前提是使6G生态系统的各个实体能够自我调节其条件，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AI模型，嵌入分散的6G网络物理层、智能边缘网卡和RAN设备，具有基于P4的可编程数据平面和高级DPU加速，具有线速本地特征提取和AI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、为可持续网络使用Net Zero AI和能效安全、检测具有深度控制流监控的新形式的攻击以及为有效负载部署制定安全连续体以促进新形式的网内操作和安全分布式计算的安全迁移。