Innovative model for security of multi-cloud platform: data integrity perspective

Cloud computing is attractive extra popular in science and industry because of its effectiveness, quick access and reconfigurable resources. It does not provide security for individual privacy and integrity in a multi-cloud system. Protection strategies for cloud-based platforms are required to guarantee client data integrity and safeguard confidential data by employing encryption approaches. Consequently, to improve both data integrity and security in a multi-cloud system, this paper introduces a novel multi-tier Elk herd-driven threshold cryptography integrated random forest (MEH-TC + RF). The approach known as Elk Herd Optimization (EHO) is utilized in this work to generate keys. Following this, MEH-TC encrypts the file using the secret key before distributing key shares to the involved resource providers, all of whom are presumed to be reliable. Finally, the cloud user information integrity is checked using the random forest (RF) classification. Experimentation results demonstrate that the suggested encryption technique MEH-TC + RF provide excellent protection when compared to the latest techniques. This study achieves an important performance measurement by way of accuracy (97.92%), recall (97.97%), f1-score (99.75%) and precision (99.51%). To preserve the secret key in a distributed cloud environment, ensure effective resource allocation and avoid single points of failure.