Securing continuum computing networks: towards robust encryption protocols for saving digital transformation procedures

Today, digital transformation has become critical to any organisation's data analytics. By integrating cloud computing as a data warehouse and the internet of things (IoT) as a data aggregator, digital transformation can be easily accomplished. However, data communication remains vulnerable to cyberattacks due to use of the internet. This study presents the derivative security algorithm (DVSA), a lightweight cryptographic solution that integrates cloud and edge computing. DVSA enhances the efficiency of IoT communications through mathematical transformations and derivative-based encryption. When evaluated against traditional and modern methods such as RSA, AES, and others, DVSA reduces transmission time by 85%-90% compared to RSA, outperforms AES by 20%-30% in speed, and excels at handling large files. It also offers strong security, low resource consumption, and flexible key management, making it ideal for secure and efficient IoT deployments.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Cryptography
Published
2025-01-01
DOI
https://doi.org/10.1504/ijact.2025.147920
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Securing continuum computing networks: towards robust encryption protocols for saving digital transformation procedures

Aida A. Nasr, Fatma M. Talaat, Khalid Mohamed Sharaf
International Journal of Applied Cryptography
Advanced Memory and Neural Computing
article

Securing continuum computing networks: towards robust encryption protocols for saving digital transformation procedures

Aida A. Nasr, Fatma M. Talaat, Khalid Mohamed Sharaf
article en

Abstract

Today, digital transformation has become critical to any organisation's data analytics. By integrating cloud computing as a data warehouse and the internet of things (IoT) as a data aggregator, digital transformation can be easily accomplished. However, data communication remains vulnerable to cyberattacks due to use of the internet. This study presents the derivative security algorithm (DVSA), a lightweight cryptographic solution that integrates cloud and edge computing. DVSA enhances the efficiency of IoT communications through mathematical transformations and derivative-based encryption. When evaluated against traditional and modern methods such as RSA, AES, and others, DVSA reduces transmission time by 85%-90% compared to RSA, outperforms AES by 20%-30% in speed, and excels at handling large files. It also offers strong security, low resource consumption, and flexible key management, making it ideal for secure and efficient IoT deployments.

International Journal of Applied CryptographyVol. 5(2)
Kafrelsheikh University (EG), Mansoura University (EG), Tanta University (EG), Delta University for Science and Technology (EG)
Openalex Percentile: Top 81%
Advanced Memory and Neural Computing
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.

Securing continuum computing networks: towards robust encryption protocols for saving digital transformation procedures — Aida A. Nasr, Fatma M. Talaat, et al. · International Journal of Applied Cryptography (2025) | TGRS Research Map | TGRS