Enhanced data privacy using vertical fragmentation and data anonymization techniques

Registration ID: IJNRD_186730

Published ID: IJNRD2302023

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G.Kasthuri, Padmapriya Arumugam

Big data,Data anonymization techniques, Radio frequency identification

ABSTRACT The use of online banking has significantly increased because of the rapid progress of electronic commerce technologies. Virtual and physical cards are used in online banking to make purchases of goods and services Virtual cards are used for online transactions and actual cards being used for offline transactions. Cashless shopping is made possible through net banking, which is quickly becoming the most common method of payment for both regular and online purchases. It will be the most practical way to do internet business, pay bills, etc. Attackers simply require a small amount of information to conduct fraudulent transactions in the online payment mode (secure code, card number, expiration date etc.). Most transactions in this buying technique will take place over the phone or the Internet. A fraudster only needs to be aware of the card information to make these types of purchases fraudulently. Much of the time, the legitimate cardholder is unaware that his card information has been viewed or stolen. Consequently, there are also rising dangers of fraud transactions using banking information. Fraudulent transactions will be identified in the current cyber security system after the transaction has been completed. It is challenging to identify fraud because the issuing agencies will not allow losses. Therefore, we can use a vertical level server architecture in this project to divide the intermediary gateway and boost security. Transaction details are divided and kept in primary and secondary servers as sensitive attributes. In order to defeat conventional cryptography techniques, you should also design a data suppression scheme that transforms string and number characters into special symbols.

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G.Kasthuri & Padmapriya Arumugam (February-2023). Enhanced data privacy using vertical fragmentation and data anonymization techniques. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(2), a195-a198. https://ijnrd.org/papers/IJNRD2302023.pdf

Volume 8 Issue 2, February-2023

Pages : a195-a198

Paper Reg. ID: IJNRD_186730

Published Paper Id: IJNRD2302023

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Karaikudi, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2302023.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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