Enhanced Data Privacy Using Vertical Fragmentation and Data Anonymization Techniques
نویسندگان
چکیده
The use of online net banking official sites has been rapidly increased now a days. In transaction attackers need only little information to steal the private bank users and can do any kind fraudulent activities. One major drawbacks commercial losses in is fraud detected by credit card detection system, which significant impact on clients. Fraudulent transactions will be discovered after completed existing novel privacy models. As result, this paper, three level server systems are implemented partition intermediate gateway with better security. User details, details account considered as sensitive attributes stored separate database. And also data suppression scheme replace string numerical characters into special symbols overcome traditional cryptography schemes implemented. Quasi-Identifiers hidden using Anonymization algorithm so that done efficiently.
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ژورنال
عنوان ژورنال: Advances in parallel computing
سال: 2021
ISSN: ['1879-808X', '0927-5452']
DOI: https://doi.org/10.3233/apc210292