DEVELOPING A SECURE DATA WAREHOUSE FRAMEWORK USING HYBRID TECHNIQUES

Data warehouse stores enormous quantity of data for many years. Hence, the security and safety of this data/ information is very important and it is critical in the maintainability and regularity of stored data. Stored data has encountered a variety of technological changes, which has provoked some strategic improvements in the security policy of the system. Threats to the security of data warehouse by intruders are detrimental to data owners. The insecurity of the data warehouse has caused organizations huge cost especially in the event of data theft. This study presents a framework for securing data ware house using a hybrid approach and was achieved by identifying security factors of the data warehouse creating hybrid security model with 3 level authentications. The system is web based that uses email and password, Token, CAPTCHA authentication and verification to ensure strict adherence to this process effectively and efficiently.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-04
DOI
https://doi.org/10.5281/zenodo.17521330
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

DEVELOPING A SECURE DATA WAREHOUSE FRAMEWORK USING HYBRID TECHNIQUES

Zenodo (CERN European Organization for Nuclear Research)
Big Data and Business Intelligence
article

DEVELOPING A SECURE DATA WAREHOUSE FRAMEWORK USING HYBRID TECHNIQUES

article en

Abstract

Data warehouse stores enormous quantity of data for many years. Hence, the security and safety of this data/ information is very important and it is critical in the maintainability and regularity of stored data. Stored data has encountered a variety of technological changes, which has provoked some strategic improvements in the security policy of the system. Threats to the security of data warehouse by intruders are detrimental to data owners. The insecurity of the data warehouse has caused organizations huge cost especially in the event of data theft. This study presents a framework for securing data ware house using a hybrid approach and was achieved by identifying security factors of the data warehouse creating hybrid security model with 3 level authentications. The system is web based that uses email and password, Token, CAPTCHA authentication and verification to ensure strict adherence to this process effectively and efficiently.

Zenodo (CERN European Organization for Nuclear Research)
Rivers State University (NG)
Peace, Justice and strong institutions
Openalex Percentile: Top 31%
Big Data and Business Intelligence
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