An Optimized Security to Multi-Cloud with Threat Prevention Mechanism for Real-Time Application

Abstract

This research presents an optimised security framework for multi-cloud environments, targeting real-time applications, particularly e-commerce platforms. We introduce Threat Preventive Routing (TP Routing) as a core mechanism for secure data transmission. This involves using headers containing source and destination information and mathematical calculations for load and stress, ensuring robust and efficient data handling. Additionally, we developed the Incident App, which identifies security threats specific to real-time applications, further enhancing the security landscape. Our framework also includes the Plan and Tent security services, designed to provide comprehensive security solutions tailored for e-commerce applications operating in cloud environments. A unique aspect of our research is the integration of the Optimal Cloud, which was developed to run on cloud operating systems and utilises task optimisation for efficient task scheduling in cloud applications.

Moreover, Automata optimise node and string searches in applications, contributing to the overall system efficiency. We also explore the use of Artificial Neural Networks (ANN) in predicting and identifying cyber-attacks, showcasing the use of AI in enhancing cloud security. The paper demonstrates our system's effectiveness in balancing security and performance, a critical aspect of real-time cloud applications.