A CAPTCHA-like implicit authentication model for smart TV based on machine learning algorithms

Recently, IoT (Internet of Things) environment centered Smart TV has been developed exponentially to provide a convenient and connected life experience to users. But this environment is vulnerable to a hacking attempt, as each of the devices is exposed to a hacker. To achieve ideal balance between security and convenience, this paper proposes an implicit authentication method based on users' TV viewing history. This machine learning model is trained on the server with face set, and it is operated on the client TV after deployment. When compared to previous authentication methods, our model has an advantage in user convenience and it is highly impenetrable in terms of security as it updates the model regularly.