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- Vol. 3 Issue 4
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Optimized Differential Private Online Transaction Scheme for Online Shopping
Authors
1PG MCA Student, Department of MCA, ST.Xavier’s Catholic College of Engineering, Nagercoil, India. 2Professor, Department of MCA, ST.Xavier’s Catholic College of Engineering, Nagercoil, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 4 (2022)
- Published Online
- July-August 2022
- Pages
- 241-243
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFAbstract: Online banks may disclose consumer’s shopping preferences due to various attacks. This project mainly focused on online consumption protection. Also this project describes how a customer can purchase products using their Fingerprint Authentication Algorithm. Only when the fingerprint is matched then the customers can able to purchase the products. An Optimized Differential private online transaction scheme (O-DIOR) is used for online banks to set boundaries of consumption amounts with added noises. Moreover, it provide in-depth theoretical analysis to prove that O-DIOR Scheme satisfy the differential privacy constraint. It helps to provide improved security for Online Shopping. Fingerprint Authentication Algorithm has been used for Finger print Verification.
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