Content area

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.

Details

1009240
Title
Quantum-Resistant Cryptographic Primitives Using Modular Hash Learning Algorithms for Enhanced SCADA System Security
Publication title
Volume
84
Issue
2
Pages
3927-3941
Number of pages
16
Publication year
2025
Publication date
2025
Section
ARTICLE
Publisher
Tech Science Press
Place of publication
Henderson
Country of publication
United States
Publication subject
ISSN
1546-2218
e-ISSN
1546-2226
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-07-03
Milestone dates
2024-10-14 (Received); 2025-03-31 (Accepted)
Publication history
 
 
   First posting date
03 Jul 2025
ProQuest document ID
3229497709
Document URL
https://www.proquest.com/scholarly-journals/quantum-resistant-cryptographic-primitives-using/docview/3229497709/se-2?accountid=208611
Copyright
© 2025. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-07-12
Database
ProQuest One Academic