@inproceedings{68e82958d01544b0b05b0c8ceb7dfb01,
title = "Toward group-based user-attribute policies in azure-like access control systems",
abstract = "Cloud resources are increasingly pooled together for collaboration among users from different administrative units. In these settings, separation of duty between resource and identity management is strongly encouraged, as it streamlines organization of resource access in cloud. Yet, this separation may hinder availability and accessibility of resources, negating access to authorized and entitled subjects. In this paper, we present an in-depth analysis of group-reachability in user attribute-based access control. Starting from a concrete instance of an Access Control supported by the Azure platform, we adopt formal verification methods to demonstrate how it is possible to mitigate access availability issues, which may arise as per-attribute criteria groups are deployed.",
author = "Ferrara, \{Anna Lisa\} and Anna Squicciarini and Cong Liao and Nguyen, \{Truc L.\}",
note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2017.; 31st Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2017 ; Conference date: 19-07-2017 Through 21-07-2017",
year = "2017",
doi = "10.1007/978-3-319-61176-1\_20",
language = "English (US)",
isbn = "9783319611754",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "349--361",
editor = "Sencun Zhu and Giovanni Livraga",
booktitle = "Data and Applications Security and Privacy XXXI - 31st Annual IFIP WG 11.3 Conference, DBSec 2017, Proceedings",
address = "Germany",
}