Maksimova Elena, Zaikina Yuliya, V. Ekaterina, Ozhiganova Marina, T. Lily, Babenko Alexey
{"title":"The Model of Data Protection in the Geographic Information System of Housing and Communal Services","authors":"Maksimova Elena, Zaikina Yuliya, V. Ekaterina, Ozhiganova Marina, T. Lily, Babenko Alexey","doi":"10.1109/SYSMART.2018.8746933","DOIUrl":null,"url":null,"abstract":"At present, the technologies of geoinformation systems are rapidly developing and cover more and more fields of application, one of which is the housing and communal services. However, certain cartographic data used in the geoinformation system of housing and communal services (hereinafter referred to as \" GeoIS HCS \") belong to information classified as state secret. This restriction requires the fulfillment of strict requirements for the protection of information and imposes a responsibility on users of information. In this regard, the article examines the problem of ensuring the safe storage, transmission and processing of information in all segments of the GeoIS HCS. To solve this problem, we analyzed: legislation in the field of cartographic data; types of data used in GeoIS HCS, methods of transformation of cartographic data and threats to GeoIS HCS.For the discussion, a model of data protection for GeoIS HCS is proposed, for which the software implementation has been carried out. The results of experimental studies on modeling situations for the implementation of threats to information security of cartographic data are presented.The effectiveness of the developed model was compared with the current model of the functioning of the GeoIS HCS. The model has a number of advantages and is able to ensure the safe transformation and transfer of cartographic data to the GeoIS HCS.","PeriodicalId":123657,"journal":{"name":"2018 International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"24 26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on System Modeling & Advancement in Research Trends (SMART)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYSMART.2018.8746933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
At present, the technologies of geoinformation systems are rapidly developing and cover more and more fields of application, one of which is the housing and communal services. However, certain cartographic data used in the geoinformation system of housing and communal services (hereinafter referred to as " GeoIS HCS ") belong to information classified as state secret. This restriction requires the fulfillment of strict requirements for the protection of information and imposes a responsibility on users of information. In this regard, the article examines the problem of ensuring the safe storage, transmission and processing of information in all segments of the GeoIS HCS. To solve this problem, we analyzed: legislation in the field of cartographic data; types of data used in GeoIS HCS, methods of transformation of cartographic data and threats to GeoIS HCS.For the discussion, a model of data protection for GeoIS HCS is proposed, for which the software implementation has been carried out. The results of experimental studies on modeling situations for the implementation of threats to information security of cartographic data are presented.The effectiveness of the developed model was compared with the current model of the functioning of the GeoIS HCS. The model has a number of advantages and is able to ensure the safe transformation and transfer of cartographic data to the GeoIS HCS.