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Edge computing is a distributed computing paradigm in which data processing, storage, and analysis are performed close to the source of data generation rather than relying entirely on centralized cloud data centers. In the context of IoT security, edge computing enables IoT devices and nearby edge nodes to process sensitive information locally, reducing latency, bandwidth consumption, and exposure of confidential data during transmission. As billions of IoT devices continuously generate large volumes of data, sending every piece of information to the cloud becomes inefficient and introduces security and privacy risks. Edge computing addresses these challenges by performing real-time processing near the network edge. The primary objective of edge computing is to bring computational resources closer to IoT devices such as sensors, actuators, cameras, wearable devices, industrial machines, and autonomous vehicles. Edge nodes may include gateways, routers, micro data centers, or dedicated edge servers equipped with processing and storage capabilities. Since data is processed locally, applications requiring immediate decision-making, such as smart healthcare, industrial automation, intelligent transportation, and smart cities, benefit significantly from ______ ______ _____ ________ _________ __________ __________ _______ _______.
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