网络环境下的光通信数据信息安全风险识别
Identification of data and information security risks in optical communication under network environment
鲍彦君1
作者信息
摘要
[目的/意义]原始光通信状态自身具有一定的波动性,导致直接利用其进行风险识别的可靠性难以保障,为此提出数字化信息安全治理背景下的光通信信息风险识别研究.[方法/过程]利用光纤传输单元、光采集单元、数据处理单元、控制与管理单元组成光通信数据采集架构,实现光通信数据采集.以离散化的方式将原始的光通信数据进行预处理,借助小波分解技术提取光通信的低频系数和高频系数并将其作为特征参量.在风险识别阶段,以实际光通信幅值状态与提取的低频系数和高频系数之间的关系,对风险系数进行分析计算.[结果/结论]设计的风险识别方法对于具体风险状态的识别结果与实际值之间的差异最小,始终稳定在0.01以内,能够为数据安全治理提供依据,保护光通信信息的安全性.
Abstract
[Purpose/Significance]Due to the inherent volatility of the original optical communication state,it is difficult to guarantee the reliability of risk identification directly using it.Therefore,a research on optical communication information risk identification under the background of digital information security governance is proposed.[Method/Process]Firstly,an optical communication data acquisition architecture is composed of a fiber optic transmission unit,an optical acquisition unit,a data processing unit,and a control and management unit to achieve optical communication data acquisition.Then,the original optical communication data is preprocessed in a discretized manner,and the low-frequency and high-frequency coefficients of optical communication are extracted using wavelet decomposition technology as feature parameters.Finally,in the risk identification stage,the specific risk coefficients are analyzed and calculated based on the relationship between the actual optical communication amplitude state and the extracted low-frequency and high-frequency coefficients.[Results/Conclusion]The test results show that the designed risk identification method has the smallest difference between the identification results of specific risk states and the actual values,and remains stable within 0.01.It can provide a basis for data security governance and protect the security of optical communication information.
关键词
光通信信息/风险识别/离散化/小波分解技术/低频系数/数据治理/信息与网络安全Key words
optical communication information/risk identification/discretization/wavelet decomposition technology/low frequency coefficient/data governance/information and network security引用本文复制引用
出版年
2024
NETL
NSTL
万方数据