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Enhancing Scalability and Privacy in 5G-Enabled IoT Networks through Block chain Integration and AI Solutions - Indexed in Google Scholar : IJISEA

The proliferation of Internet of Things (IoT) devices in the digital landscape has ushered in a new era of connectivity, empowering billions of devices to communicate over the internet. However, the reliance on centralized protocols for data transfer poses significant security challenges. The emergence of 5G technology promises high-speed data transfer, yet it also underscores the need for robust security measures. Integrating Artificial Intelligence (AI) with 5G networks offers solutions to various challenges, including security concerns and the demand for autonomous systems like self-driving vehicles and virtual reality applications. Blockchain technology, known for its decentralized ledger system, presents an opportunity to address security and trust issues in IoT environments. However, integrating blockchain with IoT networks presents its own set of challenges, particularly in terms of throughput limitations. This paper addresses these challenges by proposing a solution that combines a Blockchain Distributed Network with the Raft consensus algorithm to enhance network scalability and throughput. Additionally, privacy concerns inherent in blockchain ledgers are addressed using zkLedger, a zero-knowledge based cryptographic solution. Through these innovations, this research contributes to the development of secure, scalable, and privacy-preserving 5G-enabled IoT networks.

 Key words: Blockchain, Artificial Intelligence, Internet of Things, 5G Network, Scalability, Privacy. Abbreviations: Blockchain (BC), Artificial Intelligence (AI), Internet of Things (IoT), 5G Network, Scalability (SC), Privacy (PR).

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