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Authors: Mukuka Kangwa 1 ; Charles S. Lubobya 1 and Jackson Phiri 2

Affiliations: 1 Department of Electrical Engineering, University of Zambia, Lusaka, Zambia ; 2 Department of Computer Science, University of Zambia, Lusaka, Zambia

Keyword(s): Personally Identifiable Information, Data Privacy, Electronic Services, Data Protection, Random Electronic Identity, Hardware and Software.

Abstract: 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 r esults that were obtained from experiments conducted on the constructed key component of the proposed solution. (More)

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Paper citation in several formats:
Kangwa, M.; Lubobya, C. and Phiri, J. (2021). Enhanced Protection of Ecommerce Users’ Personal Data and Privacy using the Trusted Third Party Model. In Proceedings of the 18th International Conference on e-Business - ICE-B; ISBN 978-989-758-527-2; ISSN 2184-772X, SciTePress, pages 116-126. DOI: 10.5220/0010576201160126

@conference{ice-b21,
author={Mukuka Kangwa. and Charles S. Lubobya. and Jackson Phiri.},
title={Enhanced Protection of Ecommerce Users’ Personal Data and Privacy using the Trusted Third Party Model},
booktitle={Proceedings of the 18th International Conference on e-Business - ICE-B},
year={2021},
pages={116-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010576201160126},
isbn={978-989-758-527-2},
issn={2184-772X},
}

TY - CONF

JO - Proceedings of the 18th International Conference on e-Business - ICE-B
TI - Enhanced Protection of Ecommerce Users’ Personal Data and Privacy using the Trusted Third Party Model
SN - 978-989-758-527-2
IS - 2184-772X
AU - Kangwa, M.
AU - Lubobya, C.
AU - Phiri, J.
PY - 2021
SP - 116
EP - 126
DO - 10.5220/0010576201160126
PB - SciTePress

- Science and Technology Publications, Lda.
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