A Novel Clustering Protocol Using Fuzzy Logic

The presented systems are efficient in terms of key sensitivity, decrypted picture quality, confusion and diffusion, and speed. The clustering approach use fuzzy-based criteria to choose data centre for the cloud while minimising the time required for data centre selection. For clustering, a centralised technique is employed. The fuzzy rules are built using Mamdani's fuzzy inference approach. Depending on the distance & closeness of the data centre in the cloud to the cloud server, the fuzzy rules are put into practise. Three major aspects must be considered to have a more effective clustering mechanism: achieving high coverage, time efficiency, and a small number of orphan nodes by the distribution of cluster heads. In these areas, the method for clustering produces effective results. The encryption algorithm is evaluated in comparison to the current algorithm. In addition, for encrypting and decrypting data, the time spent and choosing a cloud data centre are computed and compared..