Abstract

IoT device applications are rapidly expanding in the current environment. Today, we can find IoT devices in a variety of industries, including agriculture, home security, entertainment, health, transportation, and education. Today, users of IoT devices and applications come from large cities, small towns, and rural areas. Security and trust are vital areas for the success of IoT implementation in IoT applications. When IoT devices engage with one another, trust grows between them. IoT device communications may be made secure by implementing trust-featured systems. Algorithms based on Machine learning, Fuzzy logic, Bayesian, and Entropy can be utilized for trust management systems. Trust management systems are surveyed in this study. Further, this paper highlights research challenges and directions in this area