Protecting Data in the Cloud Using an Efficient Evolutionary Algorithm and a Non-Commutative Encryption Method
Keywords:
Cloud computing, virtual machine (VM), Cloud Service Provider (CSP), Cuckoo search (CSO) algorithmAbstract
Cloud computing refers to an architectural concept that allows users to dynamically access any kind of service over the Internet on an as-needed basis, as well as supply computer and storage capacity as a service. Storage as a service is a particularly noteworthy service that is being offered. As virtualization technology evolves, datacenters often encounter the difficulty of handling a high volume of requests for virtual machines (VMs). The sheer volume of server requests has made exhaustively searching for the optimal server location to achieve certain design goals an impractical task. Datacenter administrators have so turned to heuristic optimisation techniques to determine where to put servers. The study presents a solution to the virtual machine placement issue in datacenters by combining the wake-sleep algorithm with a Cuckoo search (CSO) method. In order to do this, the suggested framework establishes a system of information security. Here, the optimal server selection procedure is carried out by the Cloud Service Provider (CSP) using the wake-sleep algorithm in conjunction with a cuckoo search. Following the selection of the server, the client employs homomorphic encryption to secure their data. By applying computations to cipher text, one may produce an encrypted result that, when decoded, corresponds to the outcome of operations carried out on the plaintext; this kind of encryption is known as homomorphic encryption.
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