Paper Title
ENHANCING NETWORK RESILIENCE THROUGH BLOCKCHAIN-BACKED SECURITY MECHANISMS

Abstract
This article focuses on using blockchain technology to improve IoT network security. It protects device identity, makes ensuring that the data is accurate, and enhances communication when there are disturbances. The goal is to address IoT security issues and preserve flawless performance in the face of difficulties by utilizing the advantages of blockchain. This article focuses on using blockchain technology to improve IoT network security. It protects device identity, makes ensuring that the data is accurate, and enhances communication when there are disturbances. The goal is to address IoT security issues and preserve flawless performance in the face of difficulties by utilizing the advantages of blockchain. The remedy for this issue involves the incorporation of a security system rooted in blockchain technology. Additionally, advancements can be achieved through the utilization of sophisticated machine learning algorithms, coupled with techniques such as data fusion and timestamp obfuscation. This approach holds the potential to enhance security significantly. This paper outlines a comprehensive strategy for enhancing IoT network security. We seek to improve data integrity, communication fluidity, and device identity protection. To achieve this, blockchain security systems must be combined with cutting edge techniques like data fusion, deep machine learning, and timestamp obfuscation. Our strategy lays the framework for a more secure and resilient IoT environment, addressing major security concerns and promoting online safety. Keywords - IoT, blockchain, network Security, machine learning algorithms, data fusion, timestamp obfuscation