A two-tier database architecture framework for combating cyber threats
1 Department of Computer Science, Edo State University Uzairue, Nigeria.
2 Department of Physics with Electronics, Edo State University Uzairue. Nigeria.
Mini-review
World Journal of Advanced Research and Reviews, 2024, 24(01), 1700–1705
Publication history:
Received on 14 August 2024; revised on 15 October 2024; accepted on 18 October 2024
Abstract:
The 21st century has witnessed a lot of advancements in science and technology. One may not be wrong to assert that the field of Information and Communications Technology (ICT) and its allied disciplines like Artificial Intelligence (AI) and Nanotechnology have taken the lead as we witness new developments in these areas year by year. The products and services we utilize and enjoy are evidence of the usefulness of this advancement in science and technology. It is worthy of note that the interest of many (both good and bad in the discipline of ICT), is being ignited by the fact that ICT finds its applicability virtually in every area of human endeavor. In this study, we propose a two tier database architecture that employs an Object-Oriented Analysis Design Methodology (OOADM) using the Unified Modelling Language (UML). The choice of this methodology is because we need to present every stage of the study from analysis to the design phases. With the help of the chosen methodology, we analyzed the existing frameworks, identified the weaknesses, and as a result, we further surveyed algorithms used for reliable data security. From the results obtained from the survey, we employed the SHA-256 algorithm because of its strength in data security, and the Argon2 hashing algorithm which is one of the best algorithms for securing database credentials. In the end, we provide an enhanced framework made up of the chosen algorithms and a two-dimensional database (2-DDb), which could be implemented to effectively combat attacks on important databases.
Keywords:
Cyber threats; Database architecture; Cyberespionage; Nigeria Health data information
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