An Analysis of Elliptic Curve Cryptography Secret Keys For Use In Cloud Workload Balancing And Security Provisioning

Cloud computing becomes increasingly popular that delivers dynamic scalable infrastructure for different applications, platforms and file/data storage. In cloud, security and resource sharing are major concerns which obstruct the growth of cloud computing. Many researchers have designed methods like Homomorphic Encryption, Fully Homomorphic Encryption (FHE), secure multiplication protocol, max-min algorithm, Ant Colony optimization (ACO), etc., for enhancing security and cloud-based services. The major problem existed in these methods was computation complexity, lower level of security, high execution time and resource failure. To overcome these problems, we concentrate on fine grained security and resource provisioning in cloud platform. For security, Homomorphic encryption scheme is performed based on Elliptic Curve secret key analysis which produces security against intruders and third party. This encryption scheme enhances cloud security based on secret key sharing between cloud users and data owners to securely access the data. Simultaneously, resource sharing is also involved which maintains multiple users and schedules their jobs into resources without failure. Independent clustering is designed for dynamically balancing user’s workload with significant parameters. Clustering process is mainly involved in separating workload and reducing time to allocate the resources. Our proposed environment is simulated with CloudSim which evaluates the proposed security scheme in terms of computation time, data protection rate, encryption/decryption time and the improvements in workload balancing is studied with execution time and VM migration.