{"title":"Construction of Information Security Risk Assessment Model in Smart City","authors":"Pan Hui","doi":"10.1109/TOCS50858.2020.9339614","DOIUrl":null,"url":null,"abstract":"This paper constructs the index system and risk assessment model of information security risk in smart cities. According to the principles of integrity, pertinence, operability and completeness of index selection, and according to the key factors specified in the information security risk assessment standard, 20 risk factors are selected as evaluation indicators from five levels: smart city infrastructure, data service, information content, information management and public literacy, forming the final evaluation index system. By analyzing the requirements of smart city information security risk assessment, the common risk assessment methods are compared, and finally the decision tree algorithm is selected to build the information security risk assessment model of smart city.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS50858.2020.9339614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper constructs the index system and risk assessment model of information security risk in smart cities. According to the principles of integrity, pertinence, operability and completeness of index selection, and according to the key factors specified in the information security risk assessment standard, 20 risk factors are selected as evaluation indicators from five levels: smart city infrastructure, data service, information content, information management and public literacy, forming the final evaluation index system. By analyzing the requirements of smart city information security risk assessment, the common risk assessment methods are compared, and finally the decision tree algorithm is selected to build the information security risk assessment model of smart city.