Towards ABAC Policy Mining from Logs with Deep Learning

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.