An adaptive IoT trust estimation scheme combining interaction history and stereotypical reputation

As IoT devices become prevalent in our daily lives, estimation of their trustworthiness plays an important role for privacy protection complementary to security solutions. Existing trust estimation solutions are based on SIoT whose full social network is not likely to be observable in a public space or do not reflect situation-dependent dynamism of trust. In this paper, we propose a new trust estimation scheme that computes a user's trust value of an IoT device combining both the personal trust from the interaction history and non-personal stereotypical reputation from the general public.