Abstract
The Internet of Things (IoT) has revolutionized numerous sectors by enabling seamless connectivity and data exchange among devices. However, with the proliferation of IoT devices, concerns regarding security vulnerabilities and network efficiency have escalated. This article explores the integration of edge computing within IoT networks as a solution to address these challenges. Edge computing, by bringing computation closer to the data source, offers enhanced security measures and alleviates bandwidth constraints, thereby optimizing network performance. Through a comprehensive review of existing literature and case studies, this article examines the implementation of edge computing techniques such as data filtering, encryption, and decentralized processing to fortify IoT systems against cyber threats. Furthermore, it delves into the benefits of edge computing in improving real-time data analytics, reducing latency, and facilitating autonomous decision-makingin IoT environments. By elucidating the synergistic relationship between IoT and edge computing technologies, this article aims to provide valuable insights for researchers, practitioners, and policymakers in advancing the security and efficiency of IoT deployments.
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