Cyber Resilience in Next-Generation Networks: Threat Landscape, Theoretical Foundations, and Design Paradigms

This is a 0-star academic paper (arXiv preprint) with 2 forks and zero development velocity—characteristic of a survey/theoretical work rather than a functional tool or framework. The project is a comprehensive examination of resilience in next-gen networks (SDN/NFV/O-RAN), which is valuable for knowledge synthesis but provides no executable code, API, or readily deployable artifact. Defensibility is minimal because: (1) it's a pure intellectual contribution without implementation; (2) no adoption or user base exists; (3) it's immediately reproducible by any academic research team. Frontier risk is low because this addresses a niche academic/enterprise infrastructure concern—frontier labs (OpenAI, Anthropic, Google) focus on AI/LLM products, not network resilience design paradigms. The work is incremental novelty: it synthesizes existing knowledge about SDN, NFV, and O-RAN security into a cohesive framework, but doesn't introduce fundamentally new attack vectors or defensive techniques. The paper sits in the 'reference_implementation' category as a knowledge artifact rather than executable code. No integration surface beyond citation and academic reference.