{"title":"A New Method for information security risk management in big data environment","authors":"Zhengqi Zhang","doi":"10.1109/ITCA52113.2020.00100","DOIUrl":null,"url":null,"abstract":"In recent years, the social security problems are becoming more and more complex, and the public security work is arduous. The traditional governance mode needs more transformation and bigger upgrading. At present, the police information processing work lacks of effective information data support. By using advanced technologies such as big data and artificial intelligence, the police information big data application platform is constructed to more effectively gather information related to the police situation, dig deeply into the police information data resources, and expand the application according to police information business. In order to achieve a more comprehensive source of police information, more efficient business processing, and more positive service to the grassroots, we need accurate prediction and decision support. So as to promote the transformation of public security policing mode from extensive manpower type to intelligent fine type, this paper propose a new method based private matching protocol for information security risk management in big data environment, and provide security analysis at the last.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCA52113.2020.00100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In recent years, the social security problems are becoming more and more complex, and the public security work is arduous. The traditional governance mode needs more transformation and bigger upgrading. At present, the police information processing work lacks of effective information data support. By using advanced technologies such as big data and artificial intelligence, the police information big data application platform is constructed to more effectively gather information related to the police situation, dig deeply into the police information data resources, and expand the application according to police information business. In order to achieve a more comprehensive source of police information, more efficient business processing, and more positive service to the grassroots, we need accurate prediction and decision support. So as to promote the transformation of public security policing mode from extensive manpower type to intelligent fine type, this paper propose a new method based private matching protocol for information security risk management in big data environment, and provide security analysis at the last.