With the acceleration of urbanization, society has entered an era of data explosion. It is difficult to balance confidentiality and sharing in the application of vector geographic data. Based on this, this paper proposes a method for declassifying vector geographic data which balances confidentiality and sharing. Firstly, a declassification model is constructed to ensure the sharing of vector geographic data, in other words, the declassification of classified data. Secondly, digital fingerprint technology is used to enable copyright protection of declassified data. Finally, verify whether the proposed method can give consideration to both confidentiality and sharing after declassifying vector geographic data. The experiments show: The proposed method can declassify the geometric precision of vector geographic data, and the declassified data can maintain a good graphical form and spatial relationship with good usability. And a reference for the balance between confidentiality and sharing is provided, which safeguards the safe use of vector geographic data in the urbanization process.
{"title":"A New Declassification Method for Vector Geographic Data","authors":"Yuxuan Wang, Haowen Yan, Liming Zhang","doi":"10.1145/3584714.3589126","DOIUrl":"https://doi.org/10.1145/3584714.3589126","url":null,"abstract":"With the acceleration of urbanization, society has entered an era of data explosion. It is difficult to balance confidentiality and sharing in the application of vector geographic data. Based on this, this paper proposes a method for declassifying vector geographic data which balances confidentiality and sharing. Firstly, a declassification model is constructed to ensure the sharing of vector geographic data, in other words, the declassification of classified data. Secondly, digital fingerprint technology is used to enable copyright protection of declassified data. Finally, verify whether the proposed method can give consideration to both confidentiality and sharing after declassifying vector geographic data. The experiments show: The proposed method can declassify the geometric precision of vector geographic data, and the declassified data can maintain a good graphical form and spatial relationship with good usability. And a reference for the balance between confidentiality and sharing is provided, which safeguards the safe use of vector geographic data in the urbanization process.","PeriodicalId":112952,"journal":{"name":"Proceedings of the 2022 International Conference on Cyber Security","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125080842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 2022 International Conference on Cyber Security","authors":"","doi":"10.1145/3584714","DOIUrl":"https://doi.org/10.1145/3584714","url":null,"abstract":"","PeriodicalId":112952,"journal":{"name":"Proceedings of the 2022 International Conference on Cyber Security","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129864193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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