## 4 Proposed Methodology  
The main purpose of the proposed scheme is to develop a framework capable of resisting the participation of misbehaved nodes, as well as strategies that can identify any form of nodes with an unauthorised presence in the data-forwarding process other than regular nodes. The work is an extension of our previous research [55; 56; 57; 58] in which game theory on MANET is incorporated in addressing security vulnerabilities due to the presence of misbehaving nodes in a much larger scenario involving mobile IoT systems and cloud environments. The framework architecture for this purpose is shown in Figure 1.  
According to Figure 1, the study model contributes mainly to developing a transactional record matrix, which is essentially meant to retain all the essential transactional details for secure and simpler accessibility. The proposed scheme also develops a novel controller scheme which is completely based on trust evaluation over various roles of nodes. On the basis of resources as well as evaluated trust score, the scheme selects Core IoT Nodes (CIN), as well as defines the strategy of operation for RIN with its allocated payoff. The complete implementation cycle considers mobile nodes deployed in an IoT environment with an ad hoc network. The environment is also supported by private and public cloud ecosystems for rendering service availability. The core contribution of proposed scheme is to deploy a novel game mechanism in order to secure data transmission in an IoT environment with mobile nodes. The work adopts an analytical research methodology to develop a series of operations where the details are as follows:  
* Environment: The presence of both regular mobile IoT nodes and malicious nodes is regarded as misbehaving nodes by the environment. Nodes are assumed to adhere to any conventional on-demand routing scheme, which adds security to the existing routing scheme, and no mobile IoT nodes forward data on their own. Instead, a core IoT node is used to perform the task during the propagation process and thus save the most resources. * Core Actors: There are two types of core actors in the proposed system, which are Core IoT Nodes (CIN) and Regular IoT Nodes (RIN). An RIN collects all the data and forwards them to a destination node in an ad hoc manner if it is located within its communication range. Otherwise, the RIN takes the assistance of the CIN by sending a request control message to the latter as a part of the interaction between CIN and RIN. CIN does not participate in data aggregation or typical forwarding processes, unlike the intermediate nodes in conventional ad hoc networks. Instead, CIN are selected based on potential connectivity with a higher probability of linking to the destination node. Hence, any node with a high number of connected links (apart from RIN) and better residual energy is selected as a CIN. The proposed scheme entails the  
Figure 1: Proposed strategic game model for resisting malicious node participation formatting. process of CIN selection by RIN based on newly formulated quality metrics and global trust. Therefore, from a security viewpoint, any node with a higher value of computed trust in a proposed scheme is finalised to be selected as a CIN. Upon receiving the information of the destination node from the CIN, the RIN forwards the data. * Transactional Record Matrix (TRM): Unlike existing schemes, the proposed method does not retain or process the transactional routing data in one area of storage units. Instead, it creates a distributed database system where all of the transactional information is split and stored. The majority of the essential security-based processed information (global trust, Quality metric, roles, payoff, gains) evaluated by the controller system is managed in distributed order to restrict any form of direct accessibility by any unauthorised node. * Cloud-Based Enabling Technologies: The proposed scheme makes use of both private and public clouds to improve privacy control and cost-effectiveness.