Risk Assessment And Empirical Study On Privacy Information Leakage Of Smart Community Residents

Nowadays,under the background of the rapid development of the era of big data,Chinese people are living in a risky society and even a high-risk society.Security incidents of various kinds of privacy information disclosure emerge one after another.As an important aspect of the development of the era of big data,smart community should be paid enough attention to the research on the leakage of privacy information of its residents.In the wisdom of the socialism with Chinese characteristics under the new normal in the process of community building,to prevent privacy information leakage problems and deal with all kinds of potential privacy information disclosure problem,is not only beneficial to deepen information academic understanding of information security issues,but also to a new era under the background of big data privacy information disclosure provide important guarantee for the solution of the problem.Second,to protect privacy information at home and abroad and the research of evaluation index is less,this study can not only for information about information security research and theory to the direction of more comprehensive system to provide power,and conducive to the privacy of information security security in telligence community residents,reduce the privacy information leakage risk and promote the stability and development of the intelligence community,It provid es inexhaustible power for the management and development of smart cities.The Delphi method is used to optimize the three-level indicators.Through the comparison of coefficient of variation,the relatively unimportant ones are eliminated and the key three-level indicators are extracted to form the evaluation index system of household privacy information leakage in the smart community.The empirical study is based on 6 intelligent communities in Yuelu District,Changsha.Firstly,the entropy weight method is used to analyze the weight of the evaluation index,and the degree of influence of the three-level evaluation index on the privacy disclosure of residents in the smart community is determined according to the weight.Then,on the basis of the scores of each resident,neighborhood committee and community property manager,the information entropy is calculated,and the information entropy is put into the TOPSIS algorithm to calculate,and the positive and negative ideal solutions are obtained.According to the size of positive and negative ideal solutions,the risk ranking of the investigated empirical communities was carried out to verify the operability of the index system risk assessment.Finally,based on the analysis of the evaluation results,the paper puts forward some suggestions to deal with the privacy leakage of residents in the smart community,and provides some reference for others to study the privacy security issues in the smart community.