Integration of Cloud Computing with Internet of Things. Группа авторов

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method verifies the users sharing the data are genuine or not. The computational time levels are depicted in Figure 3.7.

Graph depicts time levels for Internet of Things group establishment.

      Figure 3.6 Time levels for IoT group establishment.

Graph depicts the computational time levels for data processing.

      Figure 3.7 Computational time levels for data processing.

      The process of identification of malicious activities among the IoT devices is a challenging task. Because of malicious actions, the data in the group will be lost or modified to cause ambiguity in the group. The detection rate of malicious nodes in the proposed model is high when compared to the traditional methods. The malicious node detection rate is depicted in Figure 3.8.

      The Fog computational Secured data storage levels are depicted that indicates that the proposed model takes less time to store the data after computational process. The data storage in cloud should undergo a strong verification process to avoid data loss and also to complete the computational process. The fog computational security levels for data storage is depicted in Figure 3.9

Graph depicts malicious node detection rate.

      Figure 3.8 Malicious node detection rate.

Graph depicts fog computational security levels for data storage.

      Figure 3.9 Fog computational security levels for data storage.

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      1 *Corresponding

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