{"title":"匿名度量的信息熵模型","authors":"Jun Ye, Yong Ding, Xin-Guo Li","doi":"10.1109/INCoS.2013.58","DOIUrl":null,"url":null,"abstract":"Along with anonymous communications system being widely researched, anonymity measurement becomes more and more significant. However, there is still no desired mathematical model for this. In this paper, some necessary features for anonymity measurement model are analyzed and a dynamic model based on information entropy is proposed. Then some analyses, as well as the practicality of our model illustrated with some examples are given. Finally, comparisons with other models are made to show advantages of our model.","PeriodicalId":353706,"journal":{"name":"2013 5th International Conference on Intelligent Networking and Collaborative Systems","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information Entropy Model for Anonymity Measurement\",\"authors\":\"Jun Ye, Yong Ding, Xin-Guo Li\",\"doi\":\"10.1109/INCoS.2013.58\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Along with anonymous communications system being widely researched, anonymity measurement becomes more and more significant. However, there is still no desired mathematical model for this. In this paper, some necessary features for anonymity measurement model are analyzed and a dynamic model based on information entropy is proposed. Then some analyses, as well as the practicality of our model illustrated with some examples are given. Finally, comparisons with other models are made to show advantages of our model.\",\"PeriodicalId\":353706,\"journal\":{\"name\":\"2013 5th International Conference on Intelligent Networking and Collaborative Systems\",\"volume\":\"2010 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 5th International Conference on Intelligent Networking and Collaborative Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INCoS.2013.58\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCoS.2013.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information Entropy Model for Anonymity Measurement
Along with anonymous communications system being widely researched, anonymity measurement becomes more and more significant. However, there is still no desired mathematical model for this. In this paper, some necessary features for anonymity measurement model are analyzed and a dynamic model based on information entropy is proposed. Then some analyses, as well as the practicality of our model illustrated with some examples are given. Finally, comparisons with other models are made to show advantages of our model.
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