Privacy Threat Model for IoT

Abstract

In the current era, Internet of Things (IoT) is facilitating ubiquitous and smart services to the users. IoT applications are widely increasing day by day in many fields such as healthcare, military, industries, agricultural and smart city. While, IoT application are facilitating smart services to provide comfortable living, many new issues also have emerged. Among the issues, data and user privacy is a serious issue to be considered on priority. To better understand privacy related parameters; we have presented a methodology of Privacy Threat Modeling along with Identification of the sensitive information in the Internet of Things. Then, An Adversary Model is described to clarify and comprehend the target attacks by the adversary in the architectural layers of the IoT ecosystem. A privacy risk map has been presented that will help to understand and fix priorities of the involved risk in IoT ecosystem. An IoT application called as Patient Data Provider “PDP" has been presented along with the discussion of the data privacy issues and challenges.