Enhanced Cloud Security Model with Hybrid Encryption Approach for Advanced Data Security in Cloud Computing
Keywords:
Task scheduling, Cloud computing, Key agreement, QKDP, time consumptionAbstract
Cloud computing (CC) is a typical paradigm that maintains, manages, and backs up statistics remotely using dynamic capabilities. It allows consumers and companies to access services on demand and as needed across a web network, and it increases the capabilities of physical resources by maximizing and sharing their utilisation. Cloud computing performance can be harmed by inefficient resource management. As a result, resources must be distributed fairly among many stakeholders without jeopardizing the organization's profit or user happiness. Information security and privacy, on the other hand, have surfaced as a major worry threatening CC's success. To begin with, storing data on the cloud increases the risk of data leakage and unauthorised access. Second, cyber-attacks and disruptions are increasingly targeting cloud systems, posing a danger to cloud security. It's It is a requirement for the advancement of distributed computing. As a consequence, in this paper, a hybrid task-based security method has been developed. A secure and safe environment for distributed computing operations has been built using the improved Cat Swarm algorithm for Task Scheduling with Quantum Key Distribution ICSTS-QKDP for CC, which employs quality-based encryption. To begin, an improved cat swarm optimization algorithm-based short scheduler for task scheduling (ICSTS) reduces make-span time while increasing throughput. The suggested design provides cloud users peace of mind when it comes to data security. Quantum Key Distribution Protocol (QKDP) incorporates quantum key cryptography to provide cloud storage security and control data dynamics. A large quantity of data is collected from a variety of computing devices in the distributed computing paradigm, which may be monitored and limited by the framework. The strategy is primarily concerned with data access, storage, and management. The secured keys are transferred across a trusted channel when the model is used. The suggested approach outperforms the present one in terms of resource usage, energy consumption, reaction time, secure key transfer, and so on. Its goal is to prevent unauthorised client access and ensure that only authorised clients have access to the same data.
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