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Privacy Preserving Data Aggregation in Fog Computing using Homomorphic Encryption: An Analysis

机译：使用同态加密的雾计算中的隐私保护数据聚合：分析

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In recent days the attention of the researchers has been grabbed by the advent of fog computing which is found to be a conservatory of cloud computing. The fog computing is found to be more advantageous and it solves mighty issues of the cloud namely higher delay and also no proper mobility awareness and location related awareness are found in the cloud environment. The IoT devices are connected to the fog nodes which support the cloud services to accumulate and process a component of data. The presence of Fog nodes not only reduces the demands of processing data, but it had improved the quality of service in real time scenarios. Nevertheless the fog node endures from challenges of false data injection, privacy violation in IoT devices and violating integrity of data. This paper is going to address the key issues related to homomorphic encryption algorithms which is used by various researchers for providing data integrity and authenticity of the devices with their merits and demerits
机译：近年来，雾计算的出现吸引了研究人员的注意力，雾计算被认为是云计算的保护者。发现雾计算是更有利的，并且雾解决了云的强大问题，即更高的延迟，并且在云环境中没有找到适当的移动性意识和与位置有关的意识。物联网设备连接到雾节点，雾节点支持云服务以累积和处理数据的一部分。 Fog节点的存在不仅减少了处理数据的需求，而且提高了实时方案中的服务质量。尽管如此，雾节点仍然遭受以下挑战：错误的数据注入，物联网设备中的隐私侵犯以及数据完整性的破坏。本文将解决与同态加密算法有关的关键问题，各种研究人员使用该算法来提供设备的数据完整性和真实性以及其优缺点。

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