Ravie Chandren Muniyandi
National University of Malaysia
99 Papers
180 Citations
Ravie Chandren Muniyandi is an academic researcher from National University of Malaysia. The author has contributed to research in topics: Membrane computing & Computer science. The author has an hindex of 12, co-authored 77 publications. Previous affiliations of Ravie Chandren Muniyandi include University of Sheffield.
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Papers
Efficient Neuroimaging Data Security and Encryption Using Pixel-Based Homomorphic Residue Number System
TL;DR: The analysis demonstrates that the proposed RNS scheme is a fully homomorphic encryption (FHE) scheme that can encrypt and decrypt neuroimages without compromising any essential neural biomarker features and is robust against statistical attacks like histogram, brute force, correlation coefficient, and key sensitivity.
1
Privacy-Preserving Classification Method for Neural-Biomarkers using Homomorphic Residue Number System CNN: HoRNS-CNN
Opeyemi Lateef Usman,Ravie Chandren Muniyandi,Khairuddin Omar,Mazlyfarina Mohamad +3 more
- 16 Feb 2022
TL;DR: This study proposes homomorphic residue number system-CNN (HoRNS-CNN) model, a model for the privacy-preserving classification of dyslexia neural-biomarkers, which demonstrated an improved performance.
1
GDP: Group-Based Differential Privacy Framework for Secure Process Mining in the Internet of Medical Things
Mahdi Sahlabadi,Zarina Shukur,Ravie Chandren Muniyandi,Morteza Saberikamarposhti +3 more
- 10 Oct 2023
TL;DR: This research presents a framework, called Group-based DP (GDP) for PM to protect the privacy of healthcare data in specific columns which are neither activity nor class ID, and suggests pertinent advanced research directions concerning real-world requirements.
1
Comparing membrane computing simulation strategies of Metabolic and Gillespie algorithms with Lotka-Voltera Population as a case study
Ravie Chandren Muniyandi,Abdullah Mohd Zin +1 more
- 17 Jul 2011
TL;DR: The results show that membrane computing simulation strategy of Gillespie Algorithm is an approach to preserve the stochastic behaviours of biological systems that absent in the deterministic approach of Metabolic Algorithm.
1
P System as a Computing Tool for Embedded Feature Selection and Classification Method for Microarray Cancer Data
Ravie Chandren Muniyandi,Naeimeh Elkhani +1 more
- 14 Sep 2020
TL;DR: In this article, a multi-objective binary particle swarm optimization (MObPSO) algorithm was proposed to select informative genes from microarray data, where the kernel P system (kP) was used as the variant of the P system to improve the performance of the intelligent algorithm.