Blockchain-enhanced Cloud Security Frameworks: Addressing Human-network Vulnerabilities in Public and Private Sector Systems

Abstract

This study aims to examine the effectiveness of blockchain technology in enhancing cloud security frameworks by focusing on human-network vulnerabilities in public and private sector systems Utilizing data from the Verizon Data Breach Investigations Report, Global Terrorism Database, and Ethereum Blockchain Dataset, the analysis incorporates descriptive statistics, logistic regression, and time series analysis to evaluate incident mitigation effectiveness, scalability, and performance. The results reveal that blockchain reduces the likelihood of successful attacks by 5.75 times compared to traditional methods, particularly in managing high-frequency incidents like phishing and credential misuse. However, challenges related to scalability, such as increased latency and network congestion under heavy loads, were identified. The study concludes that while blockchain significantly improves cloud security, performance optimizations are necessary. Recommendations include implementing layer-2 scaling solutions and adopting hybrid blockchain models to balance security and performance.