Jinsu Kim, Sungwoo Jung, S. Oh, Won-Chi Jung, Doik Hyun, Yujin Jung, Eunsun Choi, Namje Park
{"title":"基于风险等级的块网络图像隐私信息去识别机制","authors":"Jinsu Kim, Sungwoo Jung, S. Oh, Won-Chi Jung, Doik Hyun, Yujin Jung, Eunsun Choi, Namje Park","doi":"10.37622/adsa/16.1.2021.171-179","DOIUrl":null,"url":null,"abstract":"As society develops, the protection of individual safety is becoming increasingly important. In particular, the leakage of personal information, which means information that can be inferred from individuals, is a big topic that has caused a huge impact on society. In order to strengthen the protection of personal information, the video system pays a lot of attention to recorded video information or personal information, and a lot of research is being conducted to prevent it from being leaked or to identify the target from the leaked data. However, the recorded information may include criminals as well as ordinary people. There are also cases where personal information is not required to be disclosed for all criminals, but some disclosure is required depending on the risk of the subject. In this paper, we study the mechanism of applying risk-dependent non-identification in a blockchain-based data recording environment to enhance the reliability of data in the process of de-identification based on target risk information and whether it is criminal or not.","PeriodicalId":36469,"journal":{"name":"Advances in Dynamical Systems and Applications","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"De-identification Mechanism of Block Network Image Privacy Information based on Risk Level\",\"authors\":\"Jinsu Kim, Sungwoo Jung, S. Oh, Won-Chi Jung, Doik Hyun, Yujin Jung, Eunsun Choi, Namje Park\",\"doi\":\"10.37622/adsa/16.1.2021.171-179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As society develops, the protection of individual safety is becoming increasingly important. In particular, the leakage of personal information, which means information that can be inferred from individuals, is a big topic that has caused a huge impact on society. In order to strengthen the protection of personal information, the video system pays a lot of attention to recorded video information or personal information, and a lot of research is being conducted to prevent it from being leaked or to identify the target from the leaked data. However, the recorded information may include criminals as well as ordinary people. There are also cases where personal information is not required to be disclosed for all criminals, but some disclosure is required depending on the risk of the subject. In this paper, we study the mechanism of applying risk-dependent non-identification in a blockchain-based data recording environment to enhance the reliability of data in the process of de-identification based on target risk information and whether it is criminal or not.\",\"PeriodicalId\":36469,\"journal\":{\"name\":\"Advances in Dynamical Systems and Applications\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Dynamical Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37622/adsa/16.1.2021.171-179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Dynamical Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37622/adsa/16.1.2021.171-179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
De-identification Mechanism of Block Network Image Privacy Information based on Risk Level
As society develops, the protection of individual safety is becoming increasingly important. In particular, the leakage of personal information, which means information that can be inferred from individuals, is a big topic that has caused a huge impact on society. In order to strengthen the protection of personal information, the video system pays a lot of attention to recorded video information or personal information, and a lot of research is being conducted to prevent it from being leaked or to identify the target from the leaked data. However, the recorded information may include criminals as well as ordinary people. There are also cases where personal information is not required to be disclosed for all criminals, but some disclosure is required depending on the risk of the subject. In this paper, we study the mechanism of applying risk-dependent non-identification in a blockchain-based data recording environment to enhance the reliability of data in the process of de-identification based on target risk information and whether it is criminal or not.