Date of Publication :5th June 2025

Abstract: With the increasing use of Internet of Things (IoT) devices, ensuring the security and privacy of these devices is crucial. It is necessary to obtain accurate data from trusted IoT nodes for effective decision-making. In traditional methods, devices are more complex and consume more power, which has driven the need for a Trust-Based Design Framework. In this paper, we design a trust-based framework to assess the trustworthiness of a device and then aggregate the data at the edge node. Data aggregation is an efficient technique widely used in the IoT for collecting statistics from IoT sensor nodes. However, resources are limited, and the inherent unreliability of wireless transmission makes sensors in IoT vulnerable to various attacks. A compromised node may leak sensitive information to an unauthorized node, significantly threatening the integrity of the data aggregation process. Protecting the aggregation process from compromised-node attacks and quantifying the uncertainty in aggregation results has been a significant research challenge. There are various parameters for determining the trust value of each node, and developing a framework for a trust management system based on these parameters and trust factors is essential. The working of the proposed model is demonstrated through simulation experiments conducted in MATLAB, focusing on communication, data aggregation, detection of malicious activity, and the trustworthiness of nodes.

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