Abstract
The rapid digitalization of the global economy has required moving beyond simple transactional interfaces and into high-stakes, high-security ecosystems, with the technical infrastructure and customer trust having an inseparable relationship. The study deals with the growing menace of advanced cyber-attacks, including automated fraud and data breaches, that are still destabilizing the confidence of consumers. To reduce these risks, this study introduces and appraises the Secure Trust-Integration Framework (STIF), a multi-layered framework capable of integrating modern digital technologies such as private blockchain ledgers, biometric authentication, advanced encryption, and user-friendly transparency protocols. The methodology uses a heterogeneous trust-security graph model in order to examine the correlation between technical defense and perceived reliability using a synthesized dataset of 50,000 transaction instances. The experimental findings show that the STIF model, with a statistically significant 97.8% and a precision of 0.96, is better than legacy SSL/TLS architectures by 24.7. It is worth mentioning that the framework has a streamlined transaction latency of 210ms, which effectively increased the Customer Trust Index to 9.1 on a scale of 10. Moreover, the decentralized immutability with the integration decreased the False Acceptance Rate (FAR) by a significant margin 0.4%. Such conclusions imply that the key to the sustainability of contemporary e-commerce lies in the holistic approach, which implies the combination of the unseen technical rigor and the systemic transparency seen. This study presents a strategic roadmap that stakeholders can use to implement resilient architectures to ensure the integrity of internet services in a more volatile digital environment, as well as long-term consumer loyalty.
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Abey, J. (2026). Improving Security and Customer Trust in E-Commerce Using Modern Digital Technologies. Journal of Internet Services and Information Security, 16(1), 689–700. https://doi.org/10.58346/JISIS.2026.I1.039
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