Data Mining Applications in Banking Sector While Preserving Customer Privacy

In real-life data mining applications, organizations cooperate by using each other’s on the same task for more accurate results, although they may have different security and privacy concerns. Privacy-preserving (PPDM) practices involve rules techniques that allow parties to collaborate applications while keeping their private. The objective of this paper is present a number PPDM protocols show how can be used in banking sector. For purpose, discusses homomorphic cryptosystems secure multiparty computing. Supported experimental analysis, demonstrates tasks such as clustering Bayesian networks (association rules) are commonly sector efficiently securely performed. This first study combines with mining. Doi: 10.28991/ESJ-2022-06-06-014 Full Text: PDF