Quantum-Resistant Cryptographic Primitives Using Modular Hash Learning Algorithms for Enhanced SCADA System Security

As quantum computing continues to advance, traditional cryptographic methods are increasingly challenged, particularly when it comes to securing critical systems like Supervisory Control and Data Acquisition (SCADA) systems. These systems are essential for monitoring and controlling industrial operations, making their security paramount. A key threat arises from Shor’s algorithm, a powerful quantum computing tool that can compromise current hash functions, leading to significant concerns about data integrity and confidentiality. To tackle these issues, this article introduces a novel Quantum-Resistant Hash Algorithm (QRHA) known as the Modular Hash Learning Algorithm (MHLA). This algorithm is meticulously crafted to withstand potential quantum attacks by incorporating advanced mathematical and algorithmic techniques, enhancing its overall security framework. Our research delves into the effectiveness of MHLA in defending against both traditional and quantum-based threats, with a particular emphasis on its resilience to Shor’s algorithm. The findings from our study demonstrate that MHLA significantly enhances the security of SCADA systems in the context of quantum technology. By ensuring that sensitive data remains protected and confidential, MHLA not only fortifies individual systems but also contributes to the broader efforts of safeguarding industrial and infrastructure control systems against future quantum threats. Our evaluation demonstrates that MHLA improves security by 38% against quantum attack simulations compared to traditional hash functions while maintaining a computational efficiency of O(m · n · k + v + n). The algorithm achieved a 98% success rate in detecting data tampering during integrity testing. These findings underline MHLA’s effectiveness in enhancing SCADA system security amidst evolving quantum technologies. This research represents a crucial step toward developing more secure cryptographic systems that can adapt to the rapidly changing technological landscape, ultimately ensuring the reliability and integrity of critical infrastructure in an era where quantum computing poses a growing risk.

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.059643
Citations
1
Primary Topic
Benford’s Law and Fraud Detection
Type
article
Field-Weighted Citation Impact
2.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantum-Resistant Cryptographic Primitives Using Modular Hash Learning Algorithms for Enhanced SCADA System Security

Razaz Waheeb Attar, Manraj Singh, Sunil K. Singh, Savita Gupta et al.
1 citations
Computers, materials & continua/Computers, materials & continua (Print)
Benford’s Law and Fraud Detection
2.63
article

Quantum-Resistant Cryptographic Primitives Using Modular Hash Learning Algorithms for Enhanced SCADA System Security

Razaz Waheeb Attar, Manraj Singh, Sunil K. Singh, Savita Gupta, Sudhakar Kumar, Brij B. Gupta, Varsha Arya, Ahmed Alhomoud
article en
1 citations

Abstract

As quantum computing continues to advance, traditional cryptographic methods are increasingly challenged, particularly when it comes to securing critical systems like Supervisory Control and Data Acquisition (SCADA) systems. These systems are essential for monitoring and controlling industrial operations, making their security paramount. A key threat arises from Shor’s algorithm, a powerful quantum computing tool that can compromise current hash functions, leading to significant concerns about data integrity and confidentiality. To tackle these issues, this article introduces a novel Quantum-Resistant Hash Algorithm (QRHA) known as the Modular Hash Learning Algorithm (MHLA). This algorithm is meticulously crafted to withstand potential quantum attacks by incorporating advanced mathematical and algorithmic techniques, enhancing its overall security framework. Our research delves into the effectiveness of MHLA in defending against both traditional and quantum-based threats, with a particular emphasis on its resilience to Shor’s algorithm. The findings from our study demonstrate that MHLA significantly enhances the security of SCADA systems in the context of quantum technology. By ensuring that sensitive data remains protected and confidential, MHLA not only fortifies individual systems but also contributes to the broader efforts of safeguarding industrial and infrastructure control systems against future quantum threats. Our evaluation demonstrates that MHLA improves security by 38% against quantum attack simulations compared to traditional hash functions while maintaining a computational efficiency of O(m · n · k + v + n). The algorithm achieved a 98% success rate in detecting data tampering during integrity testing. These findings underline MHLA’s effectiveness in enhancing SCADA system security amidst evolving quantum technologies. This research represents a crucial step toward developing more secure cryptographic systems that can adapt to the rapidly changing technological landscape, ultimately ensuring the reliability and integrity of critical infrastructure in an era where quantum computing poses a growing risk.

Computers, materials & continua/Computers, materials & continua (Print)Vol. 84(2)
Openalex Percentile: Top 11%
Benford’s Law and Fraud Detection
2.63
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.