Explain applications of Fog computing.

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Fog computing, also known as edge computing, is an extension of cloud computing that brings computing resources closer to the edge of the network, i.e., closer to the data source or IoT devices. This paradigm shift addresses the limitations of traditional cloud computing in handling the massive amount of data generated by IoT devices. Fog computing is particularly relevant in the context of IoT security, as it offers several applications that enhance the overall security and efficiency of IoT systems.

1. Low Latency Processing:
   One of the primary applications of fog computing in the context of IoT security is the reduction of latency. By processing data closer to the source (at the edge of the network), fog computing minimizes the delay in data transmission and analysis. This is crucial for security applications where real-time or near-real-time responses are necessary, such as in surveillance systems or critical ____________ __________ _____ ___________ _____ ______ ________.
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Degree : MASTER DEGREE PROGRAMMES
Course Name : Master of Science (Information Security)Master of Science (Information Security)
Course Code : MSCIS
Subject Name : IoT Security
Subject Code : MSE 35
Year : 2023