Enhanced Protection of Ecommerce Users' Personal Data and Privacy using the Trusted Third Party Model

The rapid adoption of electronic delivery of services by various electronic service providers such as ecommerce and e-governance services leaves the users of these services with no option but to adapt if they are to continue accessing their desired services. To access these services, very often one has to reveal some of their personal data in order to get registered on the platforms made available courtesy of the service providers. One person is likely to surrender their personal identifying data to several service providers hence making their aggregated data susceptible to leakage online. Despite several solutions already in use data leakage is still prevalent. Our research proposes and tests a method that aggregates personal identifying data and seeks to enhance its protection from leakage using a novel approach formulated from software and hardware. This paper outlines the design and explains in detail how the approach is expected to protect data. It further gives details of the results that were obtained from experiments conducted on the constructed key component of the proposed solution.