Abstract- The increasing adoption of Internet of Things (IoT) devices has raised concerns about their security and privacy. Traditional security mechanisms are often inadequate for the diverse and expansive IoT ecosystem, leading to vulnerabilities and potential threats. To address these challenges, researchers and practitioners have proposed various approaches and frameworks. In this paper, we analyze and evaluate these existing methodologies, considering their strengths, limitations, and key considerations for designing secure IoT environments. Based on the insights gained from the literature review, we propose a novel model for securing IoT environments using blockchain technology. Through extensive experimentation and analysis, we demonstrate the effectiveness and efficiency of our proposed model in mitigating common security threats in IoT environments. Our model offers scalability and interoperability, allowing seamless integration with existing IoT infrastructures. This research paper contributes to the ongoing efforts in securing IoT systems by providing a comprehensive review of existing approaches and presenting a novel blockchain-based model that enhances security and enables the widespread adoption of trustworthy IoT deployments in various domains.

Keywords: Blockchain, IoT Security, deep blockchain-based trustworthy privacy-preserving secured structure, blockchain-based federated learning