Open AccessPrivacy Preserving Algorithm using Chao-Scattering of Partial Homomorphic Encryption
Author(s) -
Saja J. Mohammed,
Dujan B. Taha
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1963/1/012154
Subject(s) - homomorphic encryption , encryption , computer science , homomorphic secret sharing , computer security , algorithm , theoretical computer science , cryptography , secure multi party computation
A big challenge in privacy-preserving is found when trying is to share data while protecting the information of personally identifiable, such as phone numbers, email addresses, and biometric. The same challenges have appeared when keeping sensitive data remotely in complete privacy, without recognizing them from any unauthorized persons. In such cases, Homomorphic encryption is the highlight and considered the most suitable solution. The goal of this paper is to keep the privacy of the data stored in a database system using a new Chao-modification to the partial homomorphic encryption algorithm. It uses the chaotic system to scatter the symbols of plain data before direct them to the encryption algorithm. This will be appending an additional level of security to partial homomorphic encryption algorithms that helps them to be more resisting attacking.