A survey on Iot security: Application Areas, Security Threats, and Solution Architectures
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| C. ADVANTAGES OF FOG OVER CLOUD
IoT devices generate large volumes of data every day. Mov- ing this data to the cloud in real-time for analysis is not feasible. Therefore, the concept of fog computing has been developed. Figure 7 shows the placement and functionality of fog layer in an IoT application. Fog computing refers to extending cloud computing and its services to the edge of the network. Fog computing is a decentralized infrastructure for analysis of data and computing and can be used to store and process time-sensitive data efficiently and quickly. Its main goal is to enhance security, prevent data thefts, minimize the data stored on the cloud and to increase the overall efficiency of IoT applications. The latency in fog computation is less than cloud computation because the fog layer is placed much closer to the devices than the cloud. Only the selected and important data is sent to the cloud for long-term storage. Fog computing applications include smart vehicles, smart homes, smart agriculture, health-care, smart traffic lights, smart retail, software-defined networks, etc. Sending the immense amount of data generated by IoT devices to the cloud for processing and analyzing would be costly and time-consuming. Along with minimizing network bandwidth requirements, fog computing also reduces the frequency of two-way communication between IoT devices and the cloud [125]. In fog architecture, the data is collected at devices called fog nodes which can analyze 40 percent of it [126]. It offloads traffic from the core network minimizing the latency of IoT devices. A fog node can be any device like a router, switch, or a video surveillance camera which has computing, storage, and network connectivity. These fog nodes can be installed anywhere like on a factory floor or in a vehicle, provided it has a network connection. Data is directed to the fog node, aggregation node or cloud based on its time-sensitivity. Fog nodes make the communication in IoT application secure by providing cryptographic computations. Mere sensors and IoT devices do not always have the necessary inbuilt resources for that purpose [127]. tải về 6.16 Mb. Chia sẻ với bạn bè của bạn:
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