Energy-Efficient Cryptography for Green Computing: Optimizing Algorithms to Reduce Energy Consumption Without Sacrificing Security

The increasing adoption of IoT devices necessitates cryptographic solutions that balance security and energy efficiency. This paper introduces an optimized approach to lightweight cryptographic algorithms - GIFT, SPECK, and PRESENT - focusing on reducing energy consumption while preserving security guarantees. Our optimizations yield energy reductions of up to 22% for GIFT, 18% for SPECK, and 15% for PRESENT without compromising resistance to cryptographic attacks, as demonstrated through formal security proofs and validation with AVISPA. Integrating these optimized algorithms into IoT platforms enhances battery life and enables secure, scalable communication in resource-constrained environments. Additionally, this research supports sustainable computing by minimizing the energy footprint of cryptographic operations, aligning with global efforts to reduce carbon emissions and electronic waste.

Authors

Institutions

Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/ntms65597.2025.11076922
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy-Efficient Cryptography for Green Computing: Optimizing Algorithms to Reduce Energy Consumption Without Sacrificing Security

Ahmad Fadlallah, Mohammed El‐Hajj, Ali El Attar, Rida Khatoun
Cryptographic Implementations and Security
article

Energy-Efficient Cryptography for Green Computing: Optimizing Algorithms to Reduce Energy Consumption Without Sacrificing Security

Ahmad Fadlallah, Mohammed El‐Hajj, Ali El Attar, Rida Khatoun
article en

Abstract

The increasing adoption of IoT devices necessitates cryptographic solutions that balance security and energy efficiency. This paper introduces an optimized approach to lightweight cryptographic algorithms - GIFT, SPECK, and PRESENT - focusing on reducing energy consumption while preserving security guarantees. Our optimizations yield energy reductions of up to 22% for GIFT, 18% for SPECK, and 15% for PRESENT without compromising resistance to cryptographic attacks, as demonstrated through formal security proofs and validation with AVISPA. Integrating these optimized algorithms into IoT platforms enhances battery life and enables secure, scalable communication in resource-constrained environments. Additionally, this research supports sustainable computing by minimizing the energy footprint of cryptographic operations, aligning with global efforts to reduce carbon emissions and electronic waste.

Télécom Paris (FR), Arts, Sciences and Technology University in Lebanon (LB), Arab Open University (LB), Laboratoire Traitement et Communication de l’Information (FR)
Affordable and clean energy
Openalex Percentile: Top 90%
Cryptographic Implementations and Security
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.