A Unified Federated Framework for Internet-of-Things Security Challenges

The protection of sensitive information is among the top priorities of organizations that are involved in manufacturing. Because of this, businesses are afraid of sharing their data with other parties so that they may construct predictive and prognostic models. In such a situation, it is difficult to construct complete models to forecast the breakdown of assets since data from a single firm would not provide the needed range of operating regimes and failure types. Recently, the Internet of Things (IoT) has gotten a lot of interest because of the vast variety of applications it has in numerous fields that communicate across multiple levels of the Internet infrastructure. The Internet of Things is composed of three layers: the physical layer, the network layer, and the application layer. This paper discusses security threats and responses for each layer of the IoT. The research examines different current state-of-the-art IoT security frameworks and suggests a unified IoT network security framework name "A Unified Federated Security Framework." The fuzzy cognitive maps used in the proposed framework are used to represent and evaluate trust connections between entities in federated identity management systems. For Internet of Things networks, the unified federated security architecture suggested in this paper offers comprehensive security characteristics. It also allows for the accurate categorization of all assaults and the capture of the different dangers, which allows for the development and implementation of improved defenses.