Mining Attribute-Based Access Control Policies from Logs

Abstract : Attribute-based access control (ABAC) provides a high level of flexibility that promotes security and information sharing. ABAC policy mining algorithms have potential to significantly reduce the cost of migration to ABAC, by partially automating the development of an ABAC policy from information about the existing access-control policy and attribute data. This paper presents an algorithm for mining ABAC policies from operation logs and attribute data. To the best of our knowledge, it is the first algorithm for this problem.
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Communication dans un congrès
David Hutchison; Takeo Kanade; Bernhard Steffen; Demetri Terzopoulos; Doug Tygar; Gerhard Weikum; Vijay Atluri; Günther Pernul; Josef Kittler; Jon M. Kleinberg; Alfred Kobsa; Friedemann Mattern; John C. Mitchell; Moni Naor; Oscar Nierstrasz; C. Pandu Rangan. 28th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2014, Vienna, Austria. Springer, Lecture Notes in Computer Science, LNCS-8566, pp.276-291, 2014, Data and Applications Security and Privacy XXVIII. 〈10.1007/978-3-662-43936-4_18〉
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Zhongyuan Xu, Scott Stoller. Mining Attribute-Based Access Control Policies from Logs. David Hutchison; Takeo Kanade; Bernhard Steffen; Demetri Terzopoulos; Doug Tygar; Gerhard Weikum; Vijay Atluri; Günther Pernul; Josef Kittler; Jon M. Kleinberg; Alfred Kobsa; Friedemann Mattern; John C. Mitchell; Moni Naor; Oscar Nierstrasz; C. Pandu Rangan. 28th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2014, Vienna, Austria. Springer, Lecture Notes in Computer Science, LNCS-8566, pp.276-291, 2014, Data and Applications Security and Privacy XXVIII. 〈10.1007/978-3-662-43936-4_18〉. 〈hal-01284862〉

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