Towards ABAC Policy Mining from Logs with Deep Learning
Decebal Constantin Mocanu, Fatih Türkmen, Antonio Liotta · University of Twente Research Information · 2015
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.