Donglan Liu, Xin Liu, Lei Ma, Yingxian Chang, Rui Wang, Hao Zhang, Hao Yu, Wenting Wang
{"title":"Research on Leakage Prevention Technology of Sensitive Data based on Artificial Intelligence","authors":"Donglan Liu, Xin Liu, Lei Ma, Yingxian Chang, Rui Wang, Hao Zhang, Hao Yu, Wenting Wang","doi":"10.1109/ICEIEC49280.2020.9152286","DOIUrl":null,"url":null,"abstract":"In recent years, network security incidents happen frequently, and each security incident is inseparable from the threat of data leakage. In order to deal with the sensitive data leakage under the new network threat, this paper proposes the sensitive data leakage prevention method based on artificial intelligence technology by studying the current data leakage prevention technology. By prefabricating a simple security policy, the detection result of the data and the data are submitted to the security manager. According to the judgment of the security inspector, the self-learning security policy is carried out with artificial intelligence algorithm to promote the update of the security policy. Data assets leakage protection system is designed to show full view data assets directory, verify the risk analysis technology in data assets for centralized cataloging and grade of risk distribution data visualization display, based on the classification properties of the data security label of the multi-function scenarios such as the technology application effect, effectively reduce the risk of data leakage.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIEC49280.2020.9152286","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
In recent years, network security incidents happen frequently, and each security incident is inseparable from the threat of data leakage. In order to deal with the sensitive data leakage under the new network threat, this paper proposes the sensitive data leakage prevention method based on artificial intelligence technology by studying the current data leakage prevention technology. By prefabricating a simple security policy, the detection result of the data and the data are submitted to the security manager. According to the judgment of the security inspector, the self-learning security policy is carried out with artificial intelligence algorithm to promote the update of the security policy. Data assets leakage protection system is designed to show full view data assets directory, verify the risk analysis technology in data assets for centralized cataloging and grade of risk distribution data visualization display, based on the classification properties of the data security label of the multi-function scenarios such as the technology application effect, effectively reduce the risk of data leakage.