User Privacy in IoT

Abstract

The number of IoT devices connected to the global network is expected to be three times more, from 9.7 billion in 2020 to more than 29 billion in 2030. Globally connected IoT devices transmit enormous amounts of facts and figures daily via the internet for various purposes which is about users including important, intimate, or private information. As this data can be utilized for malevolent reasons, these devices constitute a privacy risk. IoT systems involved sensors gathering data from the environment, so known as cyber-physical systems which are highly vulnerable. Hence, user privacy issues such as password stealing, information and identity stealing, intruding, corrupting information, etc. are increasing day by day. Therefore, privacy experts and researchers are very much concerned about preventing user privacy issues and developed many PETs (blind signature, group signature, attribute-based credentials (ABCs), anonymous and pseudonymous data authentication, onion routing, encrypted communications, etc.) to prevent user privacy risks in IoT.