Security in cloud-based E-commerce: Review with a literature landscape analysis of emerging challenges and solutions

Abstract

This study systematically reviews security challenges and emerging solutions for cloud-based e-commerce platforms, providing a comprehensive analysis of recent literature. Using Scopus as the primary database, 19 articles published between 2020 and 2025 were selected through predefined criteria. PRISMA was used for a systematic literature review and bibliometric analysis, with VOSviewer mapping research trends and keyword co-occurrences. The review identifies key security challenges, including misconfigurations, insecure APIs, credential theft, insider threats, and supply chain vulnerabilities. In response, emerging solutions such as blockchain technology, AI-driven threat detection, zero-trust architectures, and fog computing frameworks show significant potential for mitigating these risks. Results also indicate a growing academic interest in cloud security for e-commerce over the study period. The findings offer actionable insights for researchers, practitioners, and policymakers to strengthen cloud security practices. The study proposes a Data-Adaptive Threat Intelligence (DATI) Framework as a practical approach for organizations to implement robust security, recommending future empirical validation in diverse e-commerce settings.