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4th IEEE International Conference on Applied Electromagnetics, Signal Processing, and Communication, AESPC 2024

作者： Kundu, Sourodeep Mishra, Deepti Tarasia, Nachiketa Barik, Rabindra Kumar School of Computer Engineering KIIT Deemed to Be University Bhubaneshwar India School of Economics and Commerce KIIT Deemed to Be University Bhubaneshwar India School of Computer Application KIIT Deemed to Be University Bhubaneshwar India

ISBN: (纸本)9798331528171

Using machine learning to improve quantum algorithms or quantum mechanics to improve machine learning is known as quantum machine learning. In order to include quantum physics into machine learning, we provide a unique model (QEFMLA-FIDO) in this research. The way an artificial neural network simulates the human brain is comparable to this method. Our suggested quantum-inspired technique can accelerate computationally challenging issues when executed on traditional hardware. Additionally, the method may easily be modified to operate on quantum technology, offering a far faster speedup than is achievable on conventional hardware. The Quantum Evolution Algorithm (QEA) improves computing efficiency by operating on both classical and quantum hardware and is motivated by the general development of quantum states. The technique solves complicated problems more quickly than conventional methods by iteratively evolving a system's Hamil-tonian to suit training data. It effectively enhances parameters by optimising the Quantum Fisher Information Matrix (QFIM). The QEA is suitable in real-world situations because it uses quantum parallelism to minimise computing complexity and is noise- resistant. It also has a predictive function that can detect improper outputs before they happen. © 2024 IEEE.

关键词： Hamiltonians

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The Research on Material Properties Database System Based on Network Sharing

The Research on Material Properties Database System Based on...

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2022 IEEE Conference on Telecommunications, Optics and computer Science, TOCS 2022

作者： Zheng, Cuifang Wu, Jiaju Kong, Linggang Kang, Shijia Cheng, Zheng Luo, Bin Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9781665470537

Based on the analysis of material performance data management requirements, a network-sharing scheme of material performance data is proposed. A material performance database system including material performance data collection, data query, data analysis, data visualization, data security management and control modules is designed to solve the problems of existing material performance database network sharing, data fusion and multidisciplinary support, and intelligent services Inadequate standardization and data security control. This paper adopts hierarchical access control strategy. After logging into the material performance database system, users can standardize the material performance data and store them to form a shared material performance database. The standardized material performance data of the database system shall be queried and shared under control according to the authority. Then, the database system compares and analyzes the material performance data obtained from controlled query sharing. Finally, the database system visualizes the shared results of controlled queries and the comparative analysis results obtained. The database system adopts the MVC architecture based on B/S (client/server) cross platform J2EE. The Third-party computing platforms are integrated in System. Users can easily use material performance data and related services through browsers and networks. MongoDB database is used for data storage, supporting distributed storage and efficient query. © 2022 IEEE.

关键词： Data acquisition

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Research on Query Optimization Method Based on Dameng 5

Research on Query Optimization Method Based on Dameng

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5th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2022

作者： Chen, Qi Ren, Ming Xia, Tao Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9781665479677

The optimization technology of database query performance is studied based on Dameng. Office OA applications are used as the test environment, and python scripts are used to batch insert large amounts of data. A large number of experiments have been carried out on the four technologies of data table index, select statement optimization, paging query and parallel query. The test tools developed on easyops platform and Google Chrome developer tools have been used to analyze the data of database response and page loading speed of the test results, respectively. With the two as parameters of the test results, the impact of the four technologies on the database query performance is discussed. The results show that appropriate data table index, optimization of '∗' and 'limit' in SQL query statements, ID limited paging query and parallel query technology can greatly improve the response speed of the database. © 2022 IEEE.

关键词： Database systems

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Evaluation Of The Efficiency Of Honeypots In Opposing Flooding Attack

Evaluation Of The Efficiency Of Honeypots In Opposing Floodi...

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2023 International Conference on Computational Intelligence and Sustainable engineering Solution, CISES 2023

作者： Singh, Neelam Sharma, Deeksha Rawat, Vandana Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Department of Computer Application Dehradun India

ISBN: (纸本)9798350323917

The significance of internet security cannot be overstated for both individuals and organizations, given the increasing threat of malicious cyber-attacks. To enhance internet security, implementing honeypot system is a practical solution. A honeypot is a highly effective security forensic solution that minimizes the possibilities of intrusion and detects potential security vulnerabilities within a system This paper gives a thorough analysis of honeypots and various attack types, and it emphasizes how they may be used to increase the security of a company and its vital network systems. This study uses a pent box honeypot to evaluate the honeypot system's defense against flooding attacks and look at the recorded intrusion attempts. Honeypots, which serve as a line of defense for our networks, have shown to be a successful method of increasing internet security. The study uses the Pent Box tool to deploy honeypots, test them against syn assaults, and analyse the results based on log data. Honeypots can lessen computer network threats and give significant statistics about probable system security holes. © 2023 IEEE.

关键词： Floods

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A Comprehensive Survey on Malware Detection Techniques 5

A Comprehensive Survey on Malware Detection Techniques

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5th International Conference on Information Management and Machine Intelligence, ICIMMI 2023

作者： Joshi, Yogesh Kumar Tiwari, Nirupma Department of Computer Science Ujjain Engineering College MP Ujjain India Department of Computer Application SAGE University M.P Indore India

ISBN: (纸本)9798400709418

Malware, malicious software designed to infiltrate and compromise computer systems, poses an ever-growing threat in today's interconnected world. This comprehensive review delves into the diverse landscape of malware detection techniques. We categorize and analyze these techniques. Each approach's strengths, weaknesses, and real-world applications are thoroughly examined. Evaluation metrics crucial to assessing detection effectiveness are elucidated. This paper aims to provide a comprehensive overview of the challenges in malware detection techniques face in protecting cyberspace against attacks, by presenting a literature on such emerging techniques for cyber security. It also provides brief descriptions of each techniques method. It finally discusses the challenges of using these techniques in cyber security. This paper provides the latest extensive bibliography and the current trends of malware detection. © 2023 ACM.

关键词： Cybersecurity

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Design of authority control service for the two-level comprehensive management system 10

Design of authority control service for the two-level compre...

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10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022

作者： Sun, Xiaohan Wan, Rui Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

This paper designs and implements an authority control service for the two-level comprehensive management system of the Institute, realizes the reasonable approval control of authority change, ensures the rationality, compliance and accuracy of user authority authorization, and ensures the data security of the system. As the core of RBAC access control model and the focus of security administrator authority management, role actually has organizational and domain attributes in the two-level integrated management system of the Institute. Then, it constructs the access control model and completes the process design and function realization, which meets the design objectives. © 2022 IEEE.

关键词： Information management

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Research on Hierarchical Consensus Fault-tolerant Control Strategy for Large-scale Facilities 37

Research on Hierarchical Consensus Fault-tolerant Control St...

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37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022

作者： An, Baoran Wu, Huai Zhou, Qinghe Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9781665465366

In the current major basic scientific fields, largescale experimental facilities play an important role. Due to the increasing number of control nodes, the strong interference conditions and network-induced communication constraints, it is easy to cause multiple faults that can reduce the control performance, and in the worst case it will lead to the instability of operation in the scientific experiment scene. To solve the problems of safe and stable operation, a hierarchical consensus fault-tolerant control strategy based on the networked multi-agent theory is proposed for large-scale complex control systems. Furthermore, a Large-scale control simulation platform for a large-scale laser facility is designed and implemented to verify the feasibility of the proposed method. © 2022 IEEE.

关键词： Multi agent systems

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Blockchain-Enabled Secure and Fair Online Lottery Systems Using Smart Contracts

Blockchain-Enabled Secure and Fair Online Lottery Systems Us...

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2024 IEEE Silchar Subsection Annual Conference, SILCON 2024

作者： Datta, Suseta Mondal, Rituparna Roy, Rajdeep Banerjee, Sourav Biswas, Utpal Narula Institute of Technology Department of Computer Application West Bengal Kolkata India Techno India University Department of Computer Applications West Bengal Kolkata India University of Kalyani Department of Computer Science and Engineering West Bengal Kalyani India Kalyani Government Engineering College Department of Computer Science and Engineering West Bengal Kalyani India

ISBN: (纸本)9798331540821

In the capricious digital dominion, conventional online lottery systems come across consequential impediment regarding transparency, fairness, and security. This paper presents an inventive solution by merging Blockchain technology and smart contracts into online lotteries to take forward these challenges. The preferred disperse implementation capitalizes on Blockchain's decentralized category to covenant the translucency and immutability of lottery transactions, thereby undoing the requisite for trusted interceders. Smart contracts are immersed to automate the entire lottery process-from ticket provisioning to winner selection and payout-certifying agreement to preconceived rules and reinforcing contender trust. Through meticulous perusal and enactment, illustration of how Blockchain technology can transform online lottery systems, providing users with a secure, transparent, and fair platform have been performed. Furthermore, the suggested system's resistance to recurrent deceit and its prospective impression on the online gambling industry are talked about, foregrounding the welfares of a Blockchain-drove technique to online lotteries. © 2024 IEEE.

关键词： Smart contract

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Extending the Control System by Integrating AI Models

Extending the Control System by Integrating AI Models

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2022 International Conference on computer engineering and Artificial Intelligence, ICCEAI 2022

作者： Luo, Jun Ni, Zhigao Tian, Zhiyu Xie, Xingquan Zhou, Xiaowei Li, Li Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (数字)9781665468039

ISBN: (纸本)9781665468039

The integrated computer control system (ICCS) of the largest high-power laser facility in China plays a significant role in experimental shot orchestration. To deduce the time and manpower consumption in two important control stages, namely the closed-loop control of arbitrary pulse generation (AWG) and detection of near-field anomalies, we design intelligent algorithms respectively. To address the issue of platform incompatibility when integrating intelligent algorithms into the existing integrated computer control system, intelligent algorithms are implemented in a servitization fashion. The new AI-integrated software of AWG waveform closed-loop control and near-field anomaly detection obtain a great time efficiency improvement. © 2022 IEEE.

关键词： Anomaly detection

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Linguistic Knowledge Representation in DPoS Consensus Scheme for Blockchain

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computers, Materials & Continua 2023年第10期77卷 845-866页

作者： Yixia Chen Mingwei Lin College of Computer and Cyber Security Fujian Normal UniversityFuzhou350117China Fujian Provincial Engineering Research Center for Public Service Big Data Mining and Application Fujian Normal UniversityFuzhou350117China

The consensus scheme is an essential component in the real blockchain *** Delegated Proof of Stake(DPoS)is a competitive consensus scheme that can decrease energy costs,promote decentralization,and increase efficiency,***,how to study the knowledge representation of the collective voting information and then select delegates is a new open *** ensure the fairness and effectiveness of transactions in the blockchain,in this paper,we propose a novel fine-grained knowledge representation method,which improves the DPoS scheme based on the linguistic term set(LTS)and proportional hesitant fuzzy linguistic term set(PHFLTS).To this end,the symmetrical LTS is used in this study to express the fine-grained voting options that can be chosen to evaluate the blockchain *** is used to model the collective voting information on the voted blockchain nodes by aggregating the voting information from other blockchain *** rank the blockchain nodes and then choose the delegate,a novel delegate selection algorithm is proposed based on the cumulative possibility ***,the numerical examples are used to demonstrate the implementation process of the proposed DPoS consensus algorithm and also its ***,the superiority of the proposed DPoS consensus algorithm is *** results show that the proposed DPoS consensus algorithm shows better performance than the existing DPoS consensus algorithms.

关键词： Linguistic term set MCDM aggregation operator

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