涉密信息价值模糊评价方法研究

Research on Fuzzy Evaluation Methods for The Value of Classified Information

[研究目的]面对当前政府机关及企事业单位的涉密信息管理工作难度和压力越来越大的局面,迫切需要一种准确、高效、系统的涉密信息价值衡量方法,从而对涉密信息实现“量密定管”。[研究方法]基于一般信息的价值测量方法,在提出涉密信息保密价值概念的基础上,探讨了涉密信息的价值组成。考虑到涉密信息的特殊性和涉密信息保密价值指标的独立性与可加性,设计了涉密信息保密价值指标体系,并提出了一种基于Choquet积分和Shapley熵的涉密信息保密价值模糊评价模型。[研究结论]基于上述方法,选择了一篇涉密信息作为算例,通过专家打分获取评价值,最终计算出所选涉密信息的保密价值,验证了评价模型的合理性和有效性。

[Research purpose]In the face of the increasing difficulty and pressure of secret-related information management in government organs and enterprises and institutions,there is an urgent need for an accurate,efficient,and systematic method to measure the value of secret-related information.[Research method]Based on the value measurement method of general information,this paper puts forward the concept of secret value of secret-related information,and discusses the value composition of secret-related information.Considering the particularity of secret-related information and the independence and additivity of secret-related information security value index,the secret value index system of secret-related information is designed,and a fuzzy evaluation model of secret-related information secret value based on Choquet integral and Shapley entropy is proposed.[Research conclusion]Based on the above method,a piece of classified information is selected as an example,and the evaluation value is obtained by expert scoring.Finally,the secrecy value of the selected classified information is calculated,which verifies the rationality and effectiveness of the evaluation model.