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 language | English |
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Title of host publication | Proceedings of the 18th International Multiconference - Intelligent Systems, IS 2015 |
Editors | V.A. Fomichov, O.S. Fomichova |
Place of Publication | Ljubljana |
Publisher | Jožef Stefan Institute |
Publication status | Published - 7 Oct 2015 |
Event | 18th International Multiconference - Intelligent Systems, IS 2015 - Jozef Stefan Institute, Ljubljana, Slovenia Duration: 12 Oct 2015 → 13 Oct 2015 Conference number: 18 |
Conference
Conference | 18th International Multiconference - Intelligent Systems, IS 2015 |
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Abbreviated title | IS |
Country | Slovenia |
City | Ljubljana |
Period | 12/10/15 → 13/10/15 |