No more privacy Concern: A privacy-chain based homomorphic encryption scheme and statistical method for privacy preservation of user’s private and sensitive data-Reference-Cited by-同舟云学术

No more privacy Concern: A privacy-chain based homomorphic encryption scheme and statistical method for privacy preservation of user’s private and sensitive data

Published:2023-12 Issue: Volume:234 Page:121071
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Sathish Kumar G.,Premalatha K.,Uma Maheshwari G.,Rajesh Kanna P.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference62 articles.

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3. Agrawal. R & Srikant. R (2000), “Privacy preserving data mining”, SIGMOD '00: Proceedings of the 2000 ACM SIGMOD international conference on Management of data, pp.439-450. doi: 10.1145/342009.335438.

4. Almutairi N, Coenen F & Dures K (2018), “Secure Third Party Data Clustering UsingΦData: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices”, Artificial Intelligence XXXV, vol. 11311. Springer, Cham. doi: 10.1007/978-3-030-04191-5_1.

5. Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix;Almutairi;International Conference on Big Data Analytics and Knowledge Discovery, Springer, Cham,2018

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