Blockchain-Powered Security Framework for IoT Data Integrity and Privacy

Abstract

The rapid expansion of the Internet of Things (IoT) has introduced significant challenges regarding data integrity and privacy. Traditional security mechanisms often fail to address the vulnerabilities associated with decentralized and resource-constrained IoT environments. This study proposes a Blockchain-Powered Security Framework to enhance the integrity and privacy of IoT data. Using a qualitative research methodology, including literature review and library research, this paper explores the feasibility of blockchain technology in mitigating IoT security threats. The study examines existing blockchain-based security solutions and evaluates their effectiveness in ensuring data confidentiality, authentication, and tamper resistance. Findings indicate that blockchain’s decentralized nature, cryptographic hashing, and smart contracts can significantly enhance IoT security by providing immutable data records, decentralized trust management, and autonomous execution of security policies. Furthermore, this research identifies key challenges such as scalability, energy efficiency, and regulatory constraints that must be addressed for widespread adoption. The study highlights that integrating lightweight consensus mechanisms and off-chain storage can optimize blockchain implementation in IoT networks. By synthesizing insights from existing literature, this research contributes to the development of a secure and privacy-preserving IoT ecosystem. The proposed framework emphasizes a multi-layered security approach that integrates blockchain with cryptographic techniques, ensuring robust defense against cyber threats. This study underscores the importance of further empirical validation and regulatory advancements to facilitate the practical implementation of blockchain-powered IoT security frameworks. Future research should focus on optimizing blockchain architectures tailored for IoT environments to achieve a balance between security, efficiency, and scalability.