Managing data security in fog computing in IoT devices using noise framework encryption with power probabilistic clustering algorithm.

With the development of cloud computing and its technologies, most institutions and users are interested in storing their sensitive information on third-party servers. Most of the data has been collected using the Internet of Things (IoT) devices which must be saved in the cloud for further analysis. Intermediate access or unauthorized users trying to access sensitive information during the data storage causes data confidentiality, integrity, and privacy-related issues. The IoT devices are integrated with fog computing to carry out the specific computation, latency, and storage over the internet backbone. However, the IoT with Fog computing process ensures the enormous way of managing data security, data latency, privacy, and security are significant issues. In this work, the cryptographic algorithm with the clustering algorithm is developed to manage data security in a distributed environment to overcome this issue. Initially, the cluster heads are identified according to the power probabilistic criteria, and the clustering process is performed for making the data transmission in the fog systems. During data transmission, data security is managed by applying the noise protocol framework encryption process. The encryption technique utilized the various cryptographic functions that effectively manage the privacy and security of the data. The introduced system has been compared with another probabilistic clustering scheme named energy-Efficient Heterogeneous Clustering Algorithm (EEHCA). The discussed process to minimize the intermediate attacks also overcome the node high energy consumption while transmitting the data. [ABSTRACT FROM AUTHOR]