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

Yin Lei Yee Myint (), Rajermani Thinakaran (), Hushalictmy Paliyanny (), Kaung Khant Yan Naing () and J. Somasekar ()

International Journal of Innovative Research and Scientific Studies, 2025, vol. 8, issue 7, 896-907

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.

Keywords: Cloud computing; E-commerce; Process innovation; Security; Security. (search for similar items in EconPapers)
Date: 2025
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