A privacy metric model for IoT for homes (smart homes)

The proliferation of Internet of Things (IoT) has exponentially increased consumers data collection through device sensors.IoT adds convenience to people's life.However, it poses new security and privacy challenges.Prior research has shown that many consumers do not have sufficient information on IoT.There are some consumers that have enough information but rarely take any action to protect their personal information, which is attributed to the cognitive gap between attitude and actual behavior.Privacy metrics help users understand the level of privacy protection of their devices and motivate them to configure their privacy features.Several studies have called for more research on privacy metrics and the need to focus on identifying and developing new metrics for IoT and smart homes as a step toward user privacy protection.As a first step to develop privacy metrics for IoT and smart homes, this paper builds on prior privacy research to develop a privacy model, which can be used to develop privacy metrics.This model will be developed based on analysis and synthesis of existing research on privacy and IoT for homes.