光通信技术2026，Vol.50Issue(4)：34-38,5.DOI:10.13921/j.cnki.issn1002-5561.2026.04.005
基于光谱特征分析的数字孪生光网络智能安全运维技术
Intelligent security operation and maintenance technology for digital twin optical networks based on spectral feature analysis
摘要
Abstract
The concept of digital twin optical networks(DTON)has emerged to meet the demands of modern optical networks for precise signal identification,anomaly feature extraction,and route tracing.This paper systematically reviews intelligent se-curity operation and maintenance technology for digital twin optical networks based on spectral feature analysis,examines the evolution mechanism of optical signal physical fingerprint formation and outline the core modules,including data acquisition,environmental decoupling,feature dimensionality reduction,and deep neural network-based classification.To address engineer-ing challenges in large-scale deployment such as heterogeneous multi-vendor equipment,limited edge sensor resolution,and long-term spectral evolution,the paper discusses artificial intelligence solutions based on meta-learning,spatio-temporal col-laboration,and dynamic spectral evolution tracking with few-shot learning.This review aims to provide a theoretical reference for building highly autonomous and secure next-generation intelligent all-optical networks.关键词
全光通信网络/数字孪生光网络/网络安全/光谱特征分析Key words
all-optical communication networks/digital twin optical networks/network security/spectrum feature analysis分类
信息技术与安全科学引用本文复制引用
郑小平,华楠..基于光谱特征分析的数字孪生光网络智能安全运维技术[J].光通信技术,2026,50(4):34-38,5.基金项目
国家重点研发计划项目(2022YFB2903304)资助 （2022YFB2903304）
深圳市科技计划项目(KJZD20240903100009013)资助. （KJZD20240903100009013）
