Towards ABAC Policy Mining from Logs with Deep Learning

Decebal Constantin Mocanu, Fatih Turkmen, Antonio Liotta

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Abstract

Protection of sensitive information in platforms such as the ones offered by smart cities requires careful enforcement of access control rules that denote " who can/cannot access to what under which circumstances ". In this paper, we propose our ongoing work on the development of a deep learning technique to infer policies from logs. Our proposal improves the state-of-the-art by supporting negative authorizations (i.e. denied access requests) and different types of noise in logs. A preliminary evaluation of the proposed technique is also presented in the paper.
Original languageEnglish
Title of host publicationProceedings of the 18th International Multiconference - Intelligent Systems, IS 2015
EditorsV.A. Fomichov, O.S. Fomichova
Place of PublicationLjubljana
PublisherJožef Stefan Institute
Publication statusPublished - 7 Oct 2015
Event18th International Multiconference - Intelligent Systems, IS 2015 - Jozef Stefan Institute, Ljubljana, Slovenia
Duration: 12 Oct 201513 Oct 2015
Conference number: 18

Conference

Conference18th International Multiconference - Intelligent Systems, IS 2015
Abbreviated titleIS
CountrySlovenia
CityLjubljana
Period12/10/1513/10/15

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