Secure Healthcare Authentication Protocol for Healthcare System with Modified Elliptic Curve Cryptography with Logistic Chaotic Encryption

The rapid adoption of cloud computing in healthcare has revolutionized medical data management that enables seamless storage, accessibility and sharing of patient information among authorized entities. Still, the security and privacy of sensitive healthcare data remain major concerns due to the risk of breaches, unauthorized access, and cyber threats. Traditional encryption algorithms have the challenges of balancing security, efficiency, and computational overhead while considering the resource-constrained healthcare systems. To address the challenges, this research proposes a secure healthcare data-sharing framework that integrates Modified-Elliptic Curve Cryptography (m-ECC) with Logistic Chaotic Encryption algorithm. The hybrid approach enhances security using the lightweight m-ECC with enhanced cryptographic capabilities. The proposed method ensures secure data sharing with minimal encryption and decryption time. Simulation and analysis demonstrate that the m-ECC with logistic chaos hybrid encryption achieves superior security with reduced encryption time, decryption time and computational cost, of $13, \mathrm{~s} 15 \mathrm{~s}$, and 21.452 respectively.

Authors

Institutions

Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/amathe65477.2025.11081363
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Secure Healthcare Authentication Protocol for Healthcare System with Modified Elliptic Curve Cryptography with Logistic Chaotic Encryption

A. Sivasangari, T. Anandhi
Smart Systems and Machine Learning
article

Secure Healthcare Authentication Protocol for Healthcare System with Modified Elliptic Curve Cryptography with Logistic Chaotic Encryption

A. Sivasangari, T. Anandhi
article en

Abstract

The rapid adoption of cloud computing in healthcare has revolutionized medical data management that enables seamless storage, accessibility and sharing of patient information among authorized entities. Still, the security and privacy of sensitive healthcare data remain major concerns due to the risk of breaches, unauthorized access, and cyber threats. Traditional encryption algorithms have the challenges of balancing security, efficiency, and computational overhead while considering the resource-constrained healthcare systems. To address the challenges, this research proposes a secure healthcare data-sharing framework that integrates Modified-Elliptic Curve Cryptography (m-ECC) with Logistic Chaotic Encryption algorithm. The hybrid approach enhances security using the lightweight m-ECC with enhanced cryptographic capabilities. The proposed method ensures secure data sharing with minimal encryption and decryption time. Simulation and analysis demonstrate that the m-ECC with logistic chaos hybrid encryption achieves superior security with reduced encryption time, decryption time and computational cost, of $13, \mathrm{~s} 15 \mathrm{~s}$, and 21.452 respectively.

Sathyabama Institute of Science and Technology (IN)
Openalex Percentile: Top 80%
Smart Systems and Machine Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.