Enterprise of Fusion Cryptography-Steganographic Method for Cloud Loading Refuge with Social Spider Optimization Algorithm
摘要
Customers and businesses can take use of a wide range of options for storing and migrating data in remote data centres with the help of cloud computing and storage solutions. These options may be found in the cloud. It is similar to a utility, such as the electrical grid, in that it functions most effectively and efficiently when the people who use it combine their resources to achieve a common objective. In this line of research, steganography is utilised in order to disguise the genuine significance of encrypted data. Additionally, Biorthogonal Wavelet Transforms (BWT) and social spider optimization algorithms are utilised in order to embed and extract the data, respectively. Two of the performance indicators that can be detected in experimental data are referred to as normalised correlation (NC) and peak signal-to-noise ratio (PSNR). Enhanced Social Spider Optimization (ESSO), Social Spider Optimization (SSO), and Cuckoo Search are all aspects that are taken into account, regardless of whether or not attacks (such as Noise, Blurring, and Filtering) are present (CS). The results of the experiments demonstrate that the proposed method possesses excellent performance as well as high levels of security.