A CRYPTOGRAPHIC APPROACH FOR PRIVACY PRESERVING DATA MINING FOR BUSINESS ENVIRONMENT
Bhanu Singh Chouhan, Divyanshu Sharma, Vasudha Yadav, Hitesh Kag · 2020
In a number of business scenarios the data collaboration and analysis is essential for making critical decisions.But all the business owners are worried about end client privacy and data security.Therefore the proposed work addresses this issue and proposed to design a privacy-preserving data model.That model enables a business owner to combine their data to other business owner's data and mine the data patterns on entire data.Thus first a cryptographic technique based on the AES algorithm is implemented and then the ciphered data is used on the server for generating the decision rules.Finally, the rules are distributed to all the target parties.And the parties can only recover the data which are contributed by self.The implementation of the proposed secure data mining model is carried out using the JAVA and WEKA technology.The experimental results demonstrate the proposed technique outperforms in terms of Accuracy, memory and time complexities.