A QUANTITATIVE ANALYSIS OF THE ROLE OF BCRYPT HASHING TECHNIQUE IN SECURING SENSITIVE INFORMATION IN BANKING MANAGEMENT SYSTEMS
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Date
2025-10
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Gretsa University
Abstract
As Kenya's banking industry expands rapidly, the security of confidential data has become a
critical concern. This study provides a quantitative analysis of the role of the bcrypt hashing
algorithm in securing sensitive information within banking management systems. A structured
questionnaire was administered to a sample of 42 IT and security professionals at a leading
bank, achieving an 84% response rate. Statistical analysis revealed that a strong majority of
respondents (76.2%) agreed on bcrypt's significant positive impact on data security.
Furthermore, the implementation of salting techniques demonstrated a very strong positive
correlation with enhanced security outcomes, with an average Spearman’s correlation
coefficient of 0.95. Regression analysis confirmed that robust system integration practices are
a critical predictor of bcrypt's effectiveness. The study concludes that the adoption of the bcrypt
algorithm, when reinforced with systematic salting and secure integration protocols, provides
a statistically significant enhancement to the security of sensitive banking information. These
findings offer empirically supported recommendations for policymakers and financial
institutions seeking to develop more secure and resilient banking systems
Description
Research project
Keywords
SOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science