Secure data transmission in cloud computing using a cyber-security trust model with multi-risk protection scheme in smart IOT application

Secure data transmission in cloud computing using a cyber-security trust model with multi-risk protection scheme in smart IOT application

연구 분야: Cryptography

학회: Cluster Computing

As cloud computing usage rises, ensuring secure data transmission has become crucial. This study addresses this need by proposing a multi-risk protection plan and a comprehensive cybersecurity trust model to enhance data transmission security in cloud environments. The objective is to develop a robust framework that improves stability, optimizes energy efficiency, and enhances Quality of Service (QoS). To achieve stability, we implement redundancy, failover mechanisms, and load balancing for efficient resource utilization. The cybersecurity trust model offers a dynamic framework to evaluate the reliability of cloud service providers, while the multi-risk protection scheme addresses various threats, including insider threats and data breaches, through a layered approach. Anomaly detection, intrusion detection systems, and encryption protocols further strengthen security. In our research methodology, we test the model in a simulated environment, replicating real-world data transmission scenarios. Performance metrics include throughput, latency, and risk detection accuracy. The findings demonstrate significant improvements in data transmission security, with our encryption method achieving an impressive time of 0.2 s. Overall, the multi-risk protection scheme effectively identifies and mitigates risks, promoting a more secure cloud computing ecosystem.