Privacy in machine-to-machine communications A state-of-the-art survey

Abstract

With the rapid deployment of M2M services, countless smart “things” with sensing and communication capabilities are collecting data about the physical world we live in. These data can be used by various service providers to make their services more customized with high quality. On the other hand the availability of personal information raises serious concerns over individual privacy. In order to prevent unauthorized identification, localization and tracking of humans and things, privacy preserving mechanisms must be an integral part of M2M based systems. This survey gives an overview of existing approaches to information privacy, focusing on technical solutions.