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CLASSIFICATION ON HORIZONTAL PARTITION DATA PRIVACY PROTECTING DECISION TREE
Article Name
CLASSIFICATION ON HORIZONTAL PARTITION DATA PRIVACY PROTECTING DECISION TREE
Volume & Issue
Volume 1 - 2021 / Issue 1 - August
Authors
N.SENGAMALA SELVI
Keywords
Data mining, Decision tree, Distributed database, Conservation of privacy
Abstract
Protecting individual data privacy is a big challenge in distributed environments. To create a global decision classifier between multiple parties, it is important to share such data that emerge from privacy concerns with each other. The decision tree privacy preservation algorithm solves this privacy problem in a distributed setting that generates a global classification tree.Various parties. This study proposed a C4.5 privacy protection approach that addresses both discrete and continuous attribute values and uses the Advanced Encryption Standard Protocol to preserve privacy. The algorithm's encryption/ decryption speed is also significant. Modified AES is used to lower the encryption/decryption speed.