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Thus, cloud computing technology is utilised for storing, processing, and handling these large volumes of data in a highly secured manner from various attacks. This paper focuses on disease classification by utilising image processing with secured cloud computing environment using an extended zigzag image encryption scheme possessing a greater tolerance to different data attacks. Secondly, a fuzzy convolutional neural network (FCNN) algorithm is proposed for effective classification of images. The decrypted images are used for classification of cancer levels with different layers of training. After classification, the results are transferred to the concern doctors and patients for further treatment process. Here, the experimental process is carried out by utilising the standard dataset. The results from the experiment concluded that the proposed algorithm shows better performance than the other existing algorithms and can be effectively utilised for the medical image diagnosis.<\/jats:p>","DOI":"10.1155\/2021\/6615411","type":"journal-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T18:20:08Z","timestamp":1616178008000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Security and Privacy of Cloud\u2010 and IoT\u2010Based Medical Image Diagnosis Using Fuzzy Convolutional Neural Network"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1246-4609","authenticated-orcid":false,"given":"J.","family":"Deepika","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7834-8563","authenticated-orcid":false,"given":"C.","family":"Rajan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7367-6595","authenticated-orcid":false,"given":"T.","family":"Senthil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,3,19]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.11091276"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-011-0625-x"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.1118\/1.4811272"},{"key":"e_1_2_11_4_2","doi-asserted-by":"crossref","unstructured":"KanagarajG.andSumathiA. 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