通信学报2023,Vol.44Issue(7):159-170,12.DOI:10.11959/j.issn.1000-436x.2023127
基于机器学习的光网络干扰攻击检测、识别与恢复方法
Machine learning-based detection,identification and restoration method of jamming attacks in optical networks
摘要
关键词
机器学习/攻击检测与识别/攻击恢复/光网络安全Key words
machine learning/attack detection and identification/attack recovery/optical network security分类
信息技术与安全科学引用本文复制引用
巩小雪,庞嘉豪,张琦涵,徐长乐,秦文帅,郭磊..基于机器学习的光网络干扰攻击检测、识别与恢复方法[J].通信学报,2023,44(7):159-170,12.基金项目
国家自然科学基金资助项目(No.62075024,No.62025105,No.62201105,No.62205043,No.62221005) (No.62075024,No.62025105,No.62201105,No.62205043,No.62221005)
重庆市自然科学基金资助项目(No.CSTB2022NSCQ-MSX1334,No.cstc2021jcyj-msxmX0404) (No.CSTB2022NSCQ-MSX1334,No.cstc2021jcyj-msxmX0404)
重庆市教委创新研究群体基金资助项目(No.CXQT21019)The National Natural Science Foundation of China(No.62075024,No.62025105,No.62201105,No.62205043,No.62221005),The Natural Science Foundation of Chongqing(No.CSTB2022NSCQ-MSX1334,No.cstc2021jcyj-msxmX0404),Chongqing Municipal Education Commission(No.CXQT21019) (No.CXQT21019)