The distributiveness of Internet of Things (IoT) applications, introduces the requirement of a decentralized control system able to enforce security, safety and management policies. Moreover, continuous monitoring of policy conditions might require analysis on attributes whose value could be privacy sensitive. In this paper, we introduce a Usage Control framework for IoT environments which exploits secure multi-party computation and a multi-tiered architecture to collaboratively evaluate policies with privacy sensitive attributes. The paper will discuss a possible smart-grid-based application, showing the benefits of proposed framework, also by presenting performance experiments in an emulated and real environment.

Privacy Preserving Distributed Attribute Computation for Usage Control in the Internet of Things

Costantino G;La Marra A;Martinelli F;Mori P;Saracino A
2018

Abstract

The distributiveness of Internet of Things (IoT) applications, introduces the requirement of a decentralized control system able to enforce security, safety and management policies. Moreover, continuous monitoring of policy conditions might require analysis on attributes whose value could be privacy sensitive. In this paper, we introduce a Usage Control framework for IoT environments which exploits secure multi-party computation and a multi-tiered architecture to collaboratively evaluate policies with privacy sensitive attributes. The paper will discuss a possible smart-grid-based application, showing the benefits of proposed framework, also by presenting performance experiments in an emulated and real environment.
2018
Istituto di informatica e telematica - IIT
Policy Enforcement
Security
Privacy Protection
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/358892
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