{"title":"An automatically privacy setting algorithm based on Rasch model","authors":"Yong-hao GU","doi":"10.1016/S1005-8885(13)60227-7","DOIUrl":null,"url":null,"abstract":"<div><p>In the application of mobile network and internet of things (IOT), users often set sensitive information to avoid the privacy disclosing. But sometimes users are not sure whether or not to set the sensitive information open or which item should be set open. An automatically privacy setting algorithm based on Rasch model with new parameters is proposed to solve the privacy settings automatically. The proposed algorithm statistically analyses the collected users' settings information and get the summary of each user's privacy rate and privacy settings. So, new users with their privacy concern levels can find the closest privacy rate and their best privacy settings in the summary table.</p></div>","PeriodicalId":35359,"journal":{"name":"Journal of China Universities of Posts and Telecommunications","volume":"20 ","pages":"Pages 17-20"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1005-8885(13)60227-7","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of China Universities of Posts and Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1005888513602277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
In the application of mobile network and internet of things (IOT), users often set sensitive information to avoid the privacy disclosing. But sometimes users are not sure whether or not to set the sensitive information open or which item should be set open. An automatically privacy setting algorithm based on Rasch model with new parameters is proposed to solve the privacy settings automatically. The proposed algorithm statistically analyses the collected users' settings information and get the summary of each user's privacy rate and privacy settings. So, new users with their privacy concern levels can find the closest privacy rate and their best privacy settings in the summary table.