On Picture Fuzzy Information-Based Hybrid Cryptographic TOPSIS Approach for Best Suitable Cloud Storage and Security Level

In recent years, the capability to identify malicious inputs along with protected data storage is a crucial requirement of a cloud storage security framework. In the present communication, we first discuss a cloud storage framework/technique which is with a 128-bit encryption key obtained by syncing deoxyribonucleic acid (DNA) cryptographic approach and Hill Cipher algorithm to secure the privacy of distributed cloud storage system. The data herein have been classified on the basis of various security parameters modeled with the help of picture fuzzy information-based classification methodology. This model would also offer the benefit of selecting an appropriate storage server from a collection of various other storage servers that already exist in a cloud environment. Further, a picture fuzzy information-based “technique for order of preference by similarity to ideal solution” (TOPSIS) decision-making algorithm is deployed in order to determine the most suitable storage server where the data can be stored and the execution time can accordingly be reduced with improvement in the level of security.