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Designing Quantum-Resilient Blockchain Frameworks: Enhancing Transactional Security with Quantum Algorithms in Decentralized Ledgers

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International Journal of Advanced computer Science and Applications 2025年第4期16卷 618-628页

作者： Kale, Meenal R. Baker El-Ebiary, Yousef A. Sathiya, L. Burugari, Vijay Kumar Yulduz, Erkiniy Muniyandy, Elangovan Alanazi, Rakan Department of Humanities Yeshwantrao Chavan College of Engineering Hingna Nagpur India Faculty of Informatics and Computing UniSZA University Malaysia Department of CSE Panimalar Engineering College Chennai India Dept of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh Guntur India Automatic Control and Computer Engineering Department Turin Polytechnic University in Tashkent Tashkent Uzbekistan Department of Biosciences-Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Applied Science Research Center Applied Science Private University Amman Jordan Department of Information Technology Faculty of Computing and Information Technology Northern Border University Rafha Saudi Arabia

Quantum computing is progressing at a fast rate and there is a real threat that classical cryptographic methods can be compromised and therefore impact the security of blockchain networks. All of the ways used to secure blockchain like Rivest–Shamir–Adleman (RSA), Elliptic Curve Cryptography (ECC) and Secure Hash Algorithm 256-bit (SHA256) are the characteristic of the traditional cryptographic techniques vulnerable to attack by quantum algorithms: Shor’s and Grover’s algorithms: can efficiently break asymmetric encryption and speed up brute force attacks. Because of this vulnerability, there exists a need to develop an advance quantum resilient blockchain framework to protect the decentralized ledgers from the future threats of the quantum. This research proposes Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD) and Quantum Random Number Generation (QRNG) as a formidable architectural integration, to fortify security of blockchain. Classical encryption is replaced with PQC, QKD with secure key exchange by detecting eavesdropping, and QRNG with improving cryptographic randomness to remove the predictable key vulnerability. Only with a small loss of transaction efficiency, we increase transaction encryption accuracy, key exchange security, and resistance to quantum attacks. In this quantum enhanced blockchain design, the idea is to preserve the decentralization, transparency and security and at the same time overcome the future quantum threat. By going through rigorous analysis and comparative evaluation, we demonstrate that the approach saves blockchain networks from the emerging quantum risks to make sure that the decentralized finance, smart contracts and cross chain transactions. © (2025), (Science and Information Organization). All rights reserved.

关键词： Quantum cryptography

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Prediction of Wastewater Treatment Plants Performance Based on Artificial Fish School Neural Network

Prediction of Wastewater Treatment Plants Performance Based ...

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2011 International Conference on Photonics, 3D-Imaging, and Visualization

作者： Ruicheng Zhang Chong Li College of Computer and Automatic Control Hebei Polytechnic University

ISBN: (纸本)9780819488473

A reliable model for wastewater treatment plant is essential in providing a tool for predicting its performance and to form a basis for controlling the operation of the process. This would minimize the operation costs and assess the stability of environmental balance. For the multi-variable, uncertainty, non-linear characteristics of the wastewater treatment system, an artificial fish school neural network prediction model is established standing on actual operation data in the wastewater treatment system. The model overcomes several disadvantages of the conventional BP neural network. The results of model calculation show that the predicted value can better match measured value, played an effect on simulating and predicting and be able to optimize the operation status. The establishment of the predicting model provides a simple and practical way for the operation and management in wastewater treatment plant, and has good research and engineering practical value.

关键词： Artificial fish school neural network(AFSNN) wastewater plant modeling wastewater treatment

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Research on Distributed QOS Routing Algorithm Based on TCP/IP

Research on Distributed QOS Routing Algorithm Based on TCP/I...

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2011 International Conference on Photonics, 3D-Imaging, and Visualization

作者： Xiaoyue LIU Yongqiang CHEN College of Computer and Automatic Control Hebei Polytechnic University

ISBN: (纸本)9780819488473

At present, network environment follow protocol standard of IPV4 is intended to do the best effort of network to provide network applied service for users, however, not caring about service *** the packet loss rate is high, it cannot reach an ideal applied results. This article through the establishment of mathematical model, put forward a new distributed multi QOS routing algorithm, given the realization process of this distributed QOS routing algorithm, and simulation was carried out by simulation software. The results show the proposed algorithm can improve the utilization rate of network resources and the service quality of network application.

关键词： TCP/IP packet loss rate distance vector QOS routing algorithm

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automatic Flatness control Strategy with a Smith Predictor for Steel Strip Rolling

Automatic Flatness Control Strategy with a Smith Predictor f...

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2011 International Conference on Photonics, 3D-Imaging, and Visualization

作者： Ruicheng Zhang Xin Zheng College of Computer and Automatic Control Hebei Polytechnic University

ISBN: (纸本)9780819488473

The simplified transfer function diagram block for a automatic flatness control(AFC) system of strip steel rolling process was investigated. For the problem of automatic flatness control(AFC) in cold tandem mills this paper proposes control techniques based on Smith predictor to compensate for the numerous delays present in the mill. After a Smith predictor was used to the AFC system, the control laws were deduced for both proportional and integral regulators. control algorithms are tested in simulation considering a tandem mill with four stands as a benchmark, and results are shown to demonstrate the performance of the proposed schemes.

关键词： automatic flatness control(AFC) Smith predictor Delays Rolling mill

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Design of Active Disturbance Rejection controller for The Hydraulic APC System of the Rolling Mill

Design of Active Disturbance Rejection Controller for The Hy...

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2011 International Conference on Photonics, 3D-Imaging, and Visualization

作者： Ruicheng Zhang Zhikun Chen College of Computer and Automatic Control Hebei Polytechnic University

ISBN: (纸本)9780819488473

Considering uncertain external disturbance, the model of automatic position control system is established. Then, according to the information of input and output, using extended states observer(ESO), a newer observer is proposed to observe and compensate this integrated disturbance, and a controller is designed based on active disturbance rejection control(ADRC). This controller has very strong robustness not only to external disturbance, but also to unpredictable plant parameter variations.

关键词： automatic position control(APC) eextended states observer(ESO) aactive disturbance rejection controller rrobustness

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LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring

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IEEE Transactions on Consumer Electronics 2025年

作者： Huang, Jingwei Wang, Chuansheng Huang, Jiayan Fan, Haoyi Xue, Xingsi Zhang, Fuquan Fuzhou University College of Computer and Big Data Fuzhou China Polytechnic University of Catalonia Department of Automatic Control Barcelona Spain Putian University New Engineering Industry College Putian China Fujian University of Technology Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian Fuzhou350118 China Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou China Minjiang University College of Computer and Control Engineering Fuzhou China Sichuan Conservatory of Music Digital Media Art Key Laboratory of Sichuan Province Chengdu China Minjiang University Fuzhou Technology Innovation Center of Intelligent Manufacturing information System Fuzhou China Fuzhou China

Driver drowsiness electroencephalogram (EEG) signal monitoring can promptly alert drivers of their drowsiness in edge-end Consumer Electronics (CE), thereby reducing the probability of traffic accidents. Graph convolutional networks (GCNs) have shown significant advancements in processing the non-stationary, time-varying, and non-Euclidean nature of EEG signals. However, the existing single-channel EEG adjacency graph construction process lacks interpretability, which hinders the ability of GCNs to effectively extract adjacency graph features, thus affecting the performance of drowsiness monitoring. To address this issue, we propose an edge-end Lightweight Dual Graph Convolutional Network (LDGCN). Specifically, we are the first to incorporate neurophysiological knowledge to design a Baseline Drowsiness Status Adjacency Graph (BDSAG), which characterizes driver drowsiness status. Additionally, to express more features within limited EEG data, we introduce the Augmented Graph-level Module (AGM). This module captures global and local information at the graph level, ensuring that BDSAG features remain intact while enhancing effective feature expression capability. To further enhance the application of CE, we apply Adaptive Pruning Optimization (APO) to the channels and neurons of LDGCN, which nearly halves the inference latency. Experiments on benchmark datasets demonstrate that LDGCN offers the best trade-off between monitoring performance and hardware resource utilization, outperforming existing state-of-the-art algorithms. © 1975-2011 IEEE.

关键词： Neurons

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A Design of Improved FCMAC Neural Network

A Design of Improved FCMAC Neural Network

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2011 International Conference on control, Automation and Systems Engineering(CASE)

作者： Liu Li-ye Ma Cui-hong Hebei Polytechnic University College of Computer and Automatic Control

ISBN: (纸本)9781457708596

Aiming at the parameters of fuzzy controller and CMAC neural network are difficult to tune,GA is introduced to the control system to optimize the parameters of fuzzy CMAC neural network. The strong points of fuzzy control, CMAC, genetic algorithms and improved structure are together. A FCMAC control system is designed based on modified GA. Both the overall architecture of the system and the design of every part are proposed here. The results of simulation show that the proposed control system has better performance in the learning ability and approximation accuracy.

关键词： CMAC fuzzy control genetic algorithm

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Package Research Based on COM+ Technical of Web Service

Package Research Based on COM+ Technical of Web Service

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2011 International Conference on Photonics, 3D-Imaging, and Visualization

作者： Xiaoyue LIU Liang DU College of Computer and Automatic Control Hebei Polytechnic University

ISBN: (纸本)9780819488473

Early information management systems are established for realization of specific business functions ordered by enterprise, including the control and management of production, supply, sales and customer service and so on. Enterprises in accordance with their various departments establish a variety of enterprise information systems used by them, and in the actual work play a huge role in the production. In this paper, from the overall view a variety of enterprise information management systems is considered, thereafter according to specific business needs to unify arrangement of these systems, and use a suitable platform for the organic integration of existing enterprise information management systems, so that the "information islands" link.

关键词： Enterprise information systems integration Web services COM + technology package

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Research of Navigation Path Planning Algorithm in Virtual Scene

Research of Navigation Path Planning Algorithm in Virtual Sc...

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2011 International Conference on Photonics, 3D-Imaging, and Visualization

作者： Xiaoyue LIU Xueying LIU College of Computer and Automatic Control Hebei Polytechnic University Tangshan Labor Technician College

ISBN: (纸本)9780819488473

In the virtual scene, it is a complicated issue that the research of the navigation path plans in the current field of path planning. The paper research a navigation path planning algorithm for the complex large-scale virtual scene. And achieve virtual environment navigation with some path optimization algorithm in the mature robot field. The experimental results show the effectiveness of the algorithm, in particular, in complex virtual scenes.

关键词： Virtual scene,path planning,navigation path planning algorithm

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The Application of Packet Classification and Queue Management in the Web QOS System

The Application of Packet Classification and Queue Managemen...

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2011 International Conference on Photonics, 3D-Imaging, and Visualization

作者： Chun BAI Jin LIU College of Computer and Automatic Control Hebei Polytechnic University Shijiazhuang Railway Institues

ISBN: (纸本)9780819488473

The control mechanisms and strategies of Qo S are introduced and implemented in the Web server and system, to meet the growing demand of Web performance. And it provides service differentiation and performance guarantees for different types of user or request. And it is now a problems that urgent need to solve for Web development. The paper proposed a program that designs Web Qo S software of the middleware to improve the server quality of the LAN Web server.

关键词： Web Qos middleware packet classification queue management queue scheduling

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