Block chain enabled hybrid cryptographic algorithm for security and privacy preservation of electronic health records

With recent trends, the cloud-computing paradigm has gained significant attention, especially in patient health monitoring applications. To date, several cryptographic methods have been introduced to accomplish secure medical data access and storage in cloud service providers. However, these methods have failed to strike a balance among the demands of Electronic Health Records (EHRs) security solutions. Blockchain-based technology is a practical option for managing individual EHRs, as it offers an advanced solution for enhancing the privacy and security of medical data. Therefore, this research proposes a hybrid cryptographic algorithm: Secure Hash Algorithm-256 (SHA-256) combined with Composite Logistic Sine Map (CLSM), namely SHACLSM, with Proxy Re-Encryption (PRE). Overall, the effectiveness of the proposed SHACLSM is analyzed in terms of scalability, computational delay, latency, transaction time, hash verification time, and hash generation time. The outcomes clearly indicate that the proposed SHACLSM-PRE cryptographic algorithm requires minimal transaction time, latency, hash generation time, and hash verification time when evaluated against conventional algorithms, namely Advanced Encryption Standard (AES), SHA-256, Elliptic Curve Cryptography (ECC), Rivest-Shamir-Adleman (RSA), and AES New Instructions (AES-NI).

Authors

Institutions

Publication Details

Journal
ICT Express
Published
2025-08-18
DOI
https://doi.org/10.1016/j.icte.2025.08.006
Citations
3
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
9.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Block chain enabled hybrid cryptographic algorithm for security and privacy preservation of electronic health records

Stefano Rinaldi, J. Ananda Babu, B. D. Parameshachari, Kavitha Rani Balmuri et al.
3 citations
ICT Express
Blockchain Technology Applications and Security
9.74
article

Block chain enabled hybrid cryptographic algorithm for security and privacy preservation of electronic health records

Stefano Rinaldi, J. Ananda Babu, B. D. Parameshachari, Kavitha Rani Balmuri, K. Hemalatha, Sujata Patil
article en
3 citations

Abstract

With recent trends, the cloud-computing paradigm has gained significant attention, especially in patient health monitoring applications. To date, several cryptographic methods have been introduced to accomplish secure medical data access and storage in cloud service providers. However, these methods have failed to strike a balance among the demands of Electronic Health Records (EHRs) security solutions. Blockchain-based technology is a practical option for managing individual EHRs, as it offers an advanced solution for enhancing the privacy and security of medical data. Therefore, this research proposes a hybrid cryptographic algorithm: Secure Hash Algorithm-256 (SHA-256) combined with Composite Logistic Sine Map (CLSM), namely SHACLSM, with Proxy Re-Encryption (PRE). Overall, the effectiveness of the proposed SHACLSM is analyzed in terms of scalability, computational delay, latency, transaction time, hash verification time, and hash generation time. The outcomes clearly indicate that the proposed SHACLSM-PRE cryptographic algorithm requires minimal transaction time, latency, hash generation time, and hash verification time when evaluated against conventional algorithms, namely Advanced Encryption Standard (AES), SHA-256, Elliptic Curve Cryptography (ECC), Rivest-Shamir-Adleman (RSA), and AES New Instructions (AES-NI).

ICT ExpressVol. 11(5)
Shri Dharmasthala Manjunatheswara College of Ayurveda and Hospital (IN), KLE Technological University (IN), University of Brescia (IT)
Openalex Percentile: Top 2%
Blockchain Technology Applications and Security
9.74
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.