{"title":"基于角色的访问控制的基于属性的管理","authors":"Jiwan Ninglekhu, R. Krishnan","doi":"10.1109/CIC.2017.00027","DOIUrl":null,"url":null,"abstract":"Administrative Role-Based Access Control (ARBAC) models deal with how to manage user-role assignments (URA), permission-role assignments (PRA), and role- role assignments (RRA). A wide-variety of approaches have been proposed in the literature for URA, PRA, and RRA. In this paper, we propose attribute-based administrative models that unify many prior approaches for URA and PRA. The motivating factor is that attributes of various RBAC entities such as admin users, regular users and permissions can be used to administer URA and PRA in a highly-flexible manner. We develop an attribute-based URA model called AURA and an attribute-based PRA model called ARPA. We demonstrate that AURA and ARPA can express and unify many prior URA and PRA models.","PeriodicalId":156843,"journal":{"name":"2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"AARBAC: Attribute-Based Administration of Role-Based Access Control\",\"authors\":\"Jiwan Ninglekhu, R. Krishnan\",\"doi\":\"10.1109/CIC.2017.00027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Administrative Role-Based Access Control (ARBAC) models deal with how to manage user-role assignments (URA), permission-role assignments (PRA), and role- role assignments (RRA). A wide-variety of approaches have been proposed in the literature for URA, PRA, and RRA. In this paper, we propose attribute-based administrative models that unify many prior approaches for URA and PRA. The motivating factor is that attributes of various RBAC entities such as admin users, regular users and permissions can be used to administer URA and PRA in a highly-flexible manner. We develop an attribute-based URA model called AURA and an attribute-based PRA model called ARPA. We demonstrate that AURA and ARPA can express and unify many prior URA and PRA models.\",\"PeriodicalId\":156843,\"journal\":{\"name\":\"2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.2017.00027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2017.00027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AARBAC: Attribute-Based Administration of Role-Based Access Control
Administrative Role-Based Access Control (ARBAC) models deal with how to manage user-role assignments (URA), permission-role assignments (PRA), and role- role assignments (RRA). A wide-variety of approaches have been proposed in the literature for URA, PRA, and RRA. In this paper, we propose attribute-based administrative models that unify many prior approaches for URA and PRA. The motivating factor is that attributes of various RBAC entities such as admin users, regular users and permissions can be used to administer URA and PRA in a highly-flexible manner. We develop an attribute-based URA model called AURA and an attribute-based PRA model called ARPA. We demonstrate that AURA and ARPA can express and unify many prior URA and PRA models.