作者: Arnaud Oglaza , Pascale Zarate , Romain Laborde
DOI: 10.1007/S40745-014-0027-3
关键词: Information privacy 、 Decision support system 、 The Internet 、 Privacy policy 、 Computer science 、 Computer security 、 Access control 、 Privacy by Design 、 XACML 、 Privacy software
摘要: We are using more and devices connected to the Internet. Our smartphones, tablets now everyday items can share data make our life easier. Sharing may harm privacy there is a need control them. However, this task complex especially for non technical users. To facilitate task, we present decision support system, named KAPUER, that proposes high level authorization policies by learning users’ preferences. KAPUER has been integrated into XACML three algorithms have evaluated.