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检索条件"任意字段=International Conference on Information Technology - Coding and Computing"

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Quantum Resistance Blockchain Algorithm using QHF and Novel Consensus Mechanism

Quantum Resistance Blockchain Algorithm using QHF and Novel ...

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2025 IEEE international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Paul, Soumyadip Mazumdar, Mausumi Maitra Chakraborty, Sarit Government College of Engineering & Ceramic Technology Dept. of Information Technology Kolkata700010 India Government College of Engineering and Leather Technology Department of Computer Science and Engineering Kolkata700106 India

ISBN: (纸本)9798331529833

The emergence of quantum computing poses a significant threat to the security of traditional blockchain systems, which rely heavily on classical cryptographic algorithms. To safeguard the integrity and reliability of blockchain technology in the upcoming era, this work proposes a novel quantum-resistant blockchain architecture. This approach integrates a robust consensus mechanism, with advanced quantum cryptographic primitives, including quantum digital signatures based on a Quantum Hash Function (QHF). Incorporating a quantum hash function enhances the blockchain resistance, providing an additional layer of security against quantum attacks. By combining these elements, our method creates a blockchain system fortified against the potential vulnerabilities introduced by quantum computers. The proposed solution leverages the power of QHFs to safeguard transaction integrity, while the consensus mechanism ensures the reliability and decentralization of the network. This paper also delves into the theoretical underpinnings of quantum blockchains, exploring their design, feasibility, and potential applications, emphasizing their promising future, particularly in areas such as decentralized identity authentication. Finally, it contributes to the development of a secure and resilient blockchain ecosystem capable of thriving in the coming era. © 2025 IEEE.

关键词： Quantum computers

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Integrating an information System Successful with Task technology Fit: SME’s AIS Implementation 12th

Integrating an Information System Successful with Task Techn...

引用

12th international conference on Frontiers of Intelligent computing: Theory and Applications, FICTA 2024

作者： Sasmi, Aji Ahmadi Taqi, Muhamad Hanifah, Imam Abu Yulianto, Agus Sholikhan Department of Accounting Universitas Sultan Ageng Tirtayasa Banten Serang City42118 Indonesia Department of Accounting Universitas Negeri Jakarta East Jakarta13220 Indonesia

ISBN: (纸本)9789819601387

This study aims to see the perception of the use of information systems in SME’s using Task technology Fit and the DeLone McLean Model. The sample of this study is SME’s registered in East Jakarta. The sample selection technique in this study used purposive sampling techniques. This study used data obtained through questionnaires. The data used in this study is panel data, namely data from various SMEs. The variables found are task characteristics and technology characteristics contained in Task technology Fit theory and system quality, service quality, and user satisfaction contained in the DeLone and McLean models. The combination of models carried out is obtained from the modification of both models. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： information use

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Enhancing the Security of Healthcare Data in Cloud computing Environments 2

Enhancing the Security of Healthcare Data in Cloud Computing...

引用

2nd international conference on Computational Intelligence, Communication technology and Networking, CICTN 2025

作者： Sajwan, Himani Kumari, Anjali Chauhan, Garima Kumar, Raj School of Computer Applications Manav Rachna International Institute of Research & Studies Faridabad India

ISBN: (纸本)9798331530389

Cloud computing has completely evolved the way health care data is managed, but it also introduces critical security vulnerabilities that can compromise the privacy of patient information and threaten regulatory compliance. Herein, we present one of the most severe challenges: securing EHRs in a cloud environment with access to data while maintaining HIPAA compliance. We introduce a novel hybrid framework combining homomorphic encryption with blockchain-based access control and dynamic audit logging. The framework was used with a three-phase experimental approach and was deployed over five major healthcare institutions while being analyzed for 2.3 million patient records over 18 months. Results showed a high success rate of 99.97% against denial-of-service attacks while showing reductions in latency time about data retrieval up to 3 4 % compared to traditional methods of encryption. Security-incident-based variation was reduced up to 78%, and 99.99% data integrity was achieved during concurrent access scenarios. Cost analysis shows that overheads in security management amount to a reduction of 4 5 % against conventional systems. Our results show that the proposed framework is far better for healthcare data security, along with improved operational efficiency and regulatory compliance. This work contributes to the literature by providing a scalable and cost-efficient solution addressing the most complex security requirements of modern health care systems in cloud environments. The fact that the framework is implemented successfully in real life seems to reflect its effectiveness for mass-scale implementation in health organizations. © 2025 IEEE.

关键词： Cloud security

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Towards Optimizing Cost and Performance for Parallel Workloads in Cloud computing 15

Towards Optimizing Cost and Performance for Parallel Workloa...

引用

15th international conference on Cloud computing and Services Science, CLOSER 2025

作者： Maas, William Rossi, Fábio Diniz Luizelli, Marcelo C. Navaux, Philippe O.A. Lorenzon, Arthur F. Institute of Informatics Federal University of Rio Grande do Sul Brazil Federal Institute Farroupilha Campus Alegrete Brazil Federal University of Pampa Campus Alegrete Brazil

ISBN: (纸本)9789897587474

The growing popularity of data-intensive applications in cloud computing necessitates a cost-effective approach to harnessing distributed processing capabilities. However, the wide variety of instance types and configurations available can lead to substantial costs if not selected based on the parallel workload requirements, such as CPU and memory usage and thread scalability. This situation underscores the need for scalable and economical infrastructure that effectively balances parallel workloads’ performance and expenses. To tackle this issue, this paper comprehensively analyzes performance, costs, and trade-offs across 18 parallel workloads utilizing 52 high-performance computing (HPC) optimized instances from three leading cloud providers. Our findings reveal that no single instance type can simultaneously offer the best performance and the lowest costs across all workloads. Instances that excel in performance do not always provide the best cost efficiency, while the most affordable options often struggle to deliver adequate performance. Moreover, we demonstrate that by customizing instance selection to meet the specific needs of each workload, users can achieve up to 81.2% higher performance and reduce costs by 95.5% compared to using a single instance type for every workload. Copyright © 2025 by SCITEPRESS - Science and technology Publications, Lda.

关键词： Parallel processing systems

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Design and Implementation of Real-Time Wireless Sensor Network Protocols with Relay Nodes and Localization Methods for Efficient System Performance

Design and Implementation of Real-Time Wireless Sensor Netwo...

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2025 international conference on Intelligent Control, computing and Communications, IC3 2025

作者： Balan, Gunapriya Pandey, Garima Sirisha, N. Ziara, Sajjad Thethi, H. Pal Alekhya, Juttiga New Horizon College of Engineering Department of Electrical and Electronics Engineering Bangalore India Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Lovely Professional University Phagwara India Griet Department of Information Technology Telangana Hyderabad India

ISBN: (纸本)9798331527495

In this research paper we focus on the design and implementation of reliable real time wireless sensor network (WSN) protocols that make use of relay node and proper localization techniques to enhance the performance of the system in real time applications. However, Wireless Sensor Networks (WSNs) offer a very important application in environmental monitoring, industrial control, and smart cities. Maintaining efficient communication protocols and accurate real time localization of sensor nodes, especially in environments with dynamic topologies, is one of the key challenges. This paper presents a robust WSN protocol with relay nodes which achieve both energy efficiency and communication efficiency. Additionally, it examines specialized localization algorithms for use in real time systems that offer enhanced localization precision without sacrificing system performance. Results show the reliability, scalability and energy efficiency of WSNs if utilized in real time applications can be highly improved using the optimized protocols that are coupled with localization techniques. © 2025 IEEE.

关键词： Wireless sensor networks

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The Symphony of Style: An Extensive Examination of Determination Mechanisms in Deep Learning-Inspired Outfit Suggestions 2

The Symphony of Style: An Extensive Examination of Determina...

引用

2nd international conference on Computational Intelligence, Communication technology and Networking, CICTN 2025

作者： Guru Prasad, M.S. Bhosagi, Ravatappa A. Madhusudhana, K. Prithviraj Chandrappa, S. Kumar, Vikash Dehradun India School of Computing and Information Technology Reva University Bengaluru India Dept. of Electronics & Communication Engineering SDM Institute of Technology Ujire India NMAMIT Mangalore India Bengaluru India Department of Computer Application Graphic Era Deemed University Dehradun India

ISBN: (纸本)9798331530389

In the field of the fashion industry, the introduction of deep learning technology has taken an innovative revolution by providing assistance in the construction of intellectual systems that are intelligent to deliver personalized ensemble recommendations. In this research work, an innovative ensemble recommendation structure called Deep Learning VGG16 (Visual Geometry Group 16) recommender is presented. The proposed method allows a deep learning model VGG16 to understand complex patterns and developments resulting from a vast group of fashion images. In order to increase the user experience and greater participation in the well-established fashion industry, the system offers personalized ensemble ideas. The important, core and fundamental component of the system is VGG16, consisting of 13 convolutional layers and 3 fully connected layers, which is used to support the analysis of fashion images. A cutting-edge convolutional neural network (CNN) model is improved over a large and diverse collection of fashion images. Model will extract advanced high-level information and statistics with the capability to distinguish particulars in colour patterns, clothing combinations, and stylistic elements. Using this process of development, the system becomes better at identifying user preferences and fashion trends. © 2025 IEEE.

关键词： Convolutional neural networks

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Big Data-Driven Practices of Educational information technology in Personalized Instruction 14th

Big Data-Driven Practices of Educational Information Technol...

引用

14th international conference on Frontier computing, FC 2024

作者： Chen, Jinhuan School of Marxism Guangdong Polytechnic of Environmental Protection Engineering Guangdong Foshan528216 China

ISBN: (纸本)9789819623907

The advent of the big data era has brought the biggest impact on education work is the use of all kinds of information technology in education work. The use of information technology can significantly improve the quality of teaching, promote the training of talents and promote the development of information technology. The article briefly introduces the necessity and superiority of the application of information technology in teaching, and analyzes the practical use of information technology in education, hoping to provide some reference for China’s information technology teaching. This paper discusses a personalized teaching path optimization model based on the ant colony algorithm, setting variables related to students’ knowledge level, learning preference, difficulty of the target learning task, and matching degree of the learning task to the students, and then seeking the optimal teaching path through the ant colony algorithm, with the aim of helping the students to complete the learning task efficiently. Finally, the superiority of the personalized teaching path optimization model constructed in this paper is verified through experiments (the running time of the collaborative filtering algorithm and the ant colony algorithm varies less, the running time of the collaborative filtering algorithm is maintained in the range of 1.0–1.5, and that of the ant colony algorithm is in the range of 0.1–0.9). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Collaborative filtering

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Analysis of Duplicating the Human Mind Suspicions in AI in Various Divisions

Analysis of Duplicating the Human Mind Suspicions in AI in V...

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2025 international conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Santhoshkumar, S.P. Karthika, R. Vijayakumar, N. Gajalakshmi, S. Jayanthi, K. Hariharasudhan, S. School of Computing Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Avadi Chennai India School of Computing Department of Information Technology Rathinam Technical Campus Coimbatore India Pollachi Institute of Engineering and Technology Pollachi Coimbatore India

ISBN: (纸本)9798331509828

Uncertainty in AI refers to the degree of confidence or probability associated with the accuracy or effectiveness of an AI system's output. It is a measure of how much the AI system is unsure about the correctness of its output or decision-making. Uncertainty can arise in AI systems due to a variety of factors, including the quality of input data, variations in data formats, variations in context or environment, and the complexity of the underlying algorithms. Different AI applications can have specific types of uncertainty associated with them, as we discussed in previous questions about uncertainty in AI image recognition, natural language processing, data extraction, expert systems, planning and optimization, and robotics. To mitigate uncertainty in AI systems, researchers and developers use various methods, such as incorporating more data and diverse inputs, improving the quality of input data, enhancing the algorithms, and using feedback mechanisms to learn from errors and improve the system over time. However, complete elimination of uncertainty is often challenging or impossible, and users should always be aware of the potential for errors or unexpected behaviour in AI systems. In this paper, analysis of artificial intelligence uncertainty in various fields. © 2025 IEEE.

关键词： Expert systems

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The Security Verification and Analysis of information Nodes in Cyberspace by Deep Spiking Algorithm 14

The Security Verification and Analysis of Information Nodes ...

引用

14th IEEE international conference on Communication Systems and Network Technologies, CSNT 2025

作者： Zhai, Yuxin Zhou, Zhehong Li, Yanchao School of Computing Guangdong University of Science and Technology Guangdong Dongguan523083 China

ISBN: (纸本)9798331531935

In the research on the security verification technology of information nodes in cyberspace, the balance accuracy and operational stability are very important for the security of the entire Internet enterprise. In this paper, an improved method based on deep spiking algorithm is proposed to improve the effect of cyberspace information verification. In the process of research, the current security verification technology is analyzed and designed, and then the deep spiking algorithm is implemented. Then, simulation experiments and final applications are carried out to verify its effectiveness. Experimental data shows that the improved system reduces the risk spillover level by 50% and improves the accuracy of safety verification by 30%. The comprehensive conclusions can show that the proposed method can significantly improve the security verification performance of information nodes in cyberspace, and provide a strong technical guarantee for the further safe and stable operation of Internet enterprises. © 2025 IEEE.

关键词： cyberspace deep spiking algorithm information nodes security verification

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InterviewIQ: AI-Powered Chatbot for Upskilling Candidates in Technical and HR Interviews

InterviewIQ: AI-Powered Chatbot for Upskilling Candidates in...

引用

2025 international conference on Intelligent Control, computing and Communications, IC3 2025

作者： Rajeswari, A.M. Ahamed, R. Vasanth, P. Velammal College of Engineering and Technology Madurai India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527495

The job security one wants is very difficult to get as job seekers often struggle in technical and HR interviews owing to lack of proper preparation and even minimal feedback. Platforms are abundant on aptitude and coding tests, which forget realistic interview simulations. To overcome the gap, InterviewIQ uses AI-powered mock interviews mimicking real-life technical and HR interactions. NLP powers the questions on this platform to be dynamic in relation to the candidate's answers. For every session, feedback is provided about the candidate's technical skills, communication, and sentiment that was there during the interaction, allowing them to learn and realize their strengths and areas for improvement. Offering a chance for personal practice, and also actionable insights for InterviewIQ, enables them to be better prepared and give higher chances in actual interviews. © 2025 IEEE.

关键词： Natural language processing systems

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