{"title":"智能学习空间的隐私问题","authors":"T. Klobučar, Vanja Senicar, B. Jerman-Blazic","doi":"10.1109/ICALT.2004.1357655","DOIUrl":null,"url":null,"abstract":"Personalized learning solutions typically involve learner profiles with sensitive information and activities that might breach learner's privacy, such as user profiling. In this paper we discuss privacy aspects of a smart space for learning that is being developed in the EU 1ST ELENA project. The paper presents threats and requirements, and describes several privacy-enhancing technology (PET) based solutions.","PeriodicalId":291817,"journal":{"name":"IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings.","volume":"213 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Privacy issues of a smart space for learning\",\"authors\":\"T. Klobučar, Vanja Senicar, B. Jerman-Blazic\",\"doi\":\"10.1109/ICALT.2004.1357655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Personalized learning solutions typically involve learner profiles with sensitive information and activities that might breach learner's privacy, such as user profiling. In this paper we discuss privacy aspects of a smart space for learning that is being developed in the EU 1ST ELENA project. The paper presents threats and requirements, and describes several privacy-enhancing technology (PET) based solutions.\",\"PeriodicalId\":291817,\"journal\":{\"name\":\"IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings.\",\"volume\":\"213 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALT.2004.1357655\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2004.1357655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Personalized learning solutions typically involve learner profiles with sensitive information and activities that might breach learner's privacy, such as user profiling. In this paper we discuss privacy aspects of a smart space for learning that is being developed in the EU 1ST ELENA project. The paper presents threats and requirements, and describes several privacy-enhancing technology (PET) based solutions.