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检索条件"任意字段=IEEE International Conference and Workshops on Engineering of Computer Based Systems"

共 89038 条记录，以下是201-210 订阅

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Blockchain Integration for Robust Intellectual Property Protection in New Product Development (NPD) 3

Blockchain Integration for Robust Intellectual Property Prot...

引用

3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Chinnasamy, P. Subashini, B. Nijanthan, Nijanthan Madasamy Raja, G. Swetha, Devulapally Sreenivasulu Reddy, L. School of Computing Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu India School of Computing Srmist Department of Data Science and Business Systems Kattankulathur India Paavai Engineering College Tamilnadu Namakkal India Paavai Engineering College Tamilnadu Namakkal India Vaagdevi Engineering College Dept. of Computer Science and Engineering Warangal Dist. Telangana Bolli Kunta506005 India School of Advanced Sciences Kalasalingam Academy of Research and Education Department of Mathematics Tamilnadu Krishnankoil India

ISBN: (纸本)9798331509675

The rapid advancement of Blockchain technology has led to its widespread application in several domains of digital activities, such as e-government concerns and monetary security. This article presents a smart contract-based Blockchain solution for protecting intellectual property rights in new product development. The proposed solution effectively tackles the challenges associated with the confidentiality of personally identifiable information, efficiency in storing transaction-related information, as well as cooperation and monitoring in IPR. Initially, we create a mathematical model based on smart contract enabled Blockchain and intelligent contracts. Subsequently, we develop algorithms for Blockchain generation, and intelligent contracts. The system is suitable for protecting IPR in a blockchain network, by implementation of distributed identity authentication and real-time extensible storage. These features enhance the security and expandability of circuit copyright protection based on blockchain technology. The experimental results demonstrate that the suggested algorithm has decreased the cost for communication and enhanced the effectiveness of storing information and administration. Furthermore, it demonstrates resilience against many common attacks such as double-spending assaults, while maintaining low cost and overhead. Additionally, it exhibits a superior level of security in comparison to three other competing algorithms. © 2025 ieee.

关键词： Smart contract

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Enhancing Peer-to-Peer Network Security using 3D Convolutional Autoencoder based Anomaly Detection 1

Enhancing Peer-to-Peer Network Security using 3D Convolution...

引用

1st international conference on Intelligent systems and Computational Networks, ICISCN 2025

作者： Rana Veer Samara Sihman Bharattej, R. Ajznblasm, Zaid Satish, E.G. Adlin Sylvia, A. Devi, M. Saint Leo University Department of Computer Science FL United States The Islamic University of Al Diwaniyah College of Technical Engineering Department of Computers Techniques Engineering Al Diwaniyah Iraq Nitte Meenakshi Institute of Technology Department of Computer Science and Engineering Bengaluru India Dhanalakshmi Srinivasan College of Engineering and Technology Department of Computer Science and Engineering Mamallapuram India New Prince Shri Bhavani College of Engineering and Technology Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798331529246

In this era, Peer-to-Peer (P2P) networks have developed as a revolutionized network for data distribution and alternate to traditional client-server network. The features of P2P networks allow a distributed group of users to stake resources in the form of digital content or information. However, P2P networks lack in controlling access and it has limited security. In this research, Three Dimensional-Convolutional Autoencoder (3D-CA) is proposed to improve the security in P2P network. Initially, the data is obtained from University of New South Wales Network Behavior 2015 (UNSW-NB15) dataset and then preprocessed with data cleaning to ensure data quality. After that, the P2P autoencoder architecture is employed to learn the normal patterns which employs the detection in P2P network. Finally, the proposed 3D-CA is trained to detect the anomalies based on reconstruction error between input node and reconstructed pattern. From the results, the proposed 3D-CA model attained better outcomes compared to existing K-means algorithm in terms of accuracy, precision as well as F1-score by achieving 0.764, 0.90 and 0.80 respectively. © 2025 ieee.

关键词： Peer to peer networks

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Development of EEG-based Prosthetic Limb for Paraplegic and Quadriplegic Patients 2

Development of EEG-Based Prosthetic Limb for Paraplegic and ...

引用

2nd international conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Devi, Chelli N. Krishnamoorthi, Raja Nayak, Sumit Kalasalingam Academy of Research and Education Department of Biomedical Engineering Krishnankoil India International Relations Kalasalingam Academy of Research and Education Krishnankoil India Kalasalingam Academy of Research and Education Krishnankoil India

ISBN: (纸本)9798331505745

Paraplegic and quadriplegic patients and amputees face severe difficulties in performing their daily activities. A viable and effective solution for this is the development of prosthetic limbs that enable them to carry out their everyday chores. In this work, a model is proposed for electroencephalograph (EEG)-based control of these prosthetic limbs. The study compares a multi-layer perceptron and support vector machine based models for movement classification based on EEG waveforms. The raw EEG signals were obtained from the open source Kaggle website. The signals were then preprocessed, followed by data splitting, model training and evaluation, visualization and final support vector machine (SVM)-based classification. The performance of the model was evaluated based on the following metrics: precision, recall, F1-score and accuracy. The proposed SVM-based model achieved an overall accuracy of 86%. The proposed model shows great promise in developing a complete brain computer interface for controlling the prosthetic limbs. The future scope of the study entails improving the accuracy of the developed model by incorporating techniques like data augmentation and ensemble learning. © 2025 ieee.

关键词： Artificial limbs

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Deep Defense: A Hybrid LSTM-ANN Architecture for Intelligent Intrusion Detection System 2

Deep Defense: A Hybrid LSTM-ANN Architecture for Intelligent...

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

作者： Shadeja, Mohit Singh, Shashwat Prakash, Ayushi Dept. of Computer Science and Engineering Ajay Kumar Garg Engineering College Uttar Pradesh Ghaziabad India

ISBN: (纸本)9798331530389

The rapidly evolving cyber threat landscape requires innovative and adaptive intrusion detection solutions. Traditional signature-based intrusion detection systems, despite their high accuracy, are inherently inflexible and susceptible to evasion tactics, making them ineffective against novel and sophisticated attacks. In contrast, machine learning-powered anomaly-based intrusion detection systems demonstrate improved detection capabilities, but their advantages are often outweighed by substantial drawbacks, including significant computational resource requirements when the dataset and its features for behavior analysis increase. Also, there are high power consumption and latency issues in communication that compromise network performance. This study proposes a hybrid ANN-LSTM approach for performing deep packet inspection and efficiently detecting malicious network packets. By analyzing binary container data, our model reduces time and space complexity, thereby mitigating the computational resources and power consumption challenges but also increasing the efficiency of intrusion detection by 3%, making it more intelligent than various established IDS. © 2025 ieee.

关键词： Network intrusion

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Predicting Stock Prices with K-Nearest Neighbors using Moving Average Techniques 1

Predicting Stock Prices with K-Nearest Neighbors using Movin...

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1st international conference on Intelligent systems and Computational Networks, ICISCN 2025

作者： Yuvaraj, S. Chenni Kumaran, J. Kajendran, K. Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Chennai India Panimalar Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529246

This research analyzes the effectiveness of the K-Nearest Neighbors algorithm combined with moving average techniques, Five-day and Ten-day Exponential Moving Averages, specifically EMA-5 and EMA-10, to predict stock prices. The study will focus on the adjusted closing price to deal with the autocorrelation issue that is common in time series data. The performance of the models was evaluated based on four key metrics: mean absolute error, mean squared error, root mean square error, coefficient of determination, overfitting risk test and generalization capability test. It was shown from the results that KNN models integrated with EMA-5 and EMA-10 offered high accuracy, one of which, with an R2 coefficient indicating the capacity to capture stock price trends with an accuracy of up to 99%. The research pointed out how short-term EMAs, combined with machine-learning algorithms, can substantially improve stock price prediction accuracy. It gives useful insights into stock price behaviour, therefore providing a decisive precedent for future works in creating a viable method for selecting trading strategies using machine-learning tools and moving averages. © 2025 ieee.

关键词： Time series

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Application of OOSEM Method in Requirements Analysis of System Security engineering 5

Application of OOSEM Method in Requirements Analysis of Syst...

引用

5th international conference on Advances in Electrical, Electronics and Computing Technology, EECT 2025

作者： Xin, Chenliang Zhou, Yanzhang Jiang, Ning Ding, Guohui Shenyang Aircraft Design and Research Institute Aviation Industry Corporation of China Shenyang China School of Computer Shenyang Aerospace University Shenyang China

ISBN: (纸本)9798331541545

OOSEM (Object-Oriented systems engineering Method) is a MBSE(Model-based systems engineering) method. OOSEM is scenario-driven and it can analyze the requirements from system-level to component-level. As a selected MBSE method, OOSEM is applied in System security engineering. When focusing on requirement analysis, the OOSEM approach includes system requirements analysis. In OOSEM approach of this paper, SysML model is provided according to requirements analysis of Boundary Security System specially for concerning requirements analysis. In SysML model of Boundary Security System, package diagrams model, use case diagrams model, state machine diagram model and sequence diagram model respectively are applied in OOSEM process. These models provide strong design support for requirement analysis of system security engineering. © 2025 ieee.

关键词： System of systems

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AI-Powered Face Authentication System for Web and Native Apps 2

AI-Powered Face Authentication System for Web and Native App...

引用

2nd international conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Roy, Monideepa Datta, Sujoy Khan, Muhit Paroi, Methu Hasan, Mehedi School of Computer Engineering KIIT University Bhubaneswar India

ISBN: (纸本)9798331505745

In a period where security breaches and password-related issues are prevalent, the demand for more secure and user-friendly authentication methods has become paramount. This paper introduces a novel approach to web application authentication using facial recognition technology. The system allows users to register and log in to the web app using their unique facial features, offering a secure and convenient alternative to traditional password-based authentication methods. Through the integration of facial detection and recognition algorithms, coupled with a user-friendly interface, this paper aims to provide a seamless and robust authentication experience for users across various platforms. © 2025 ieee.

关键词： Face recognition

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Building Secure and Decentralized Survey Methodology: A Comprehensive Solution with FIDO2 Authentication and Fluree 14

Building Secure and Decentralized Survey Methodology: A Comp...

引用

14th ieee international conference on Communication systems and Network Technologies, CSNT 2025

作者： Balachandher, Jawahar Dongre, Chandana Bhattacharyya, Somanshu Hunashikatti, Rohit Sarasvathi, V. Department of Computer Science and Engineering PES University Karnataka Bangalore India

ISBN: (纸本)9798331531935

Traditional survey systems struggle with data immutability, privacy protection, and reliable storage. These limitations compromise transparency, security, and data integrity. This paper proposes a decentralized and secure survey platform to address these challenges. Fast Identity Online 2 (FIDO2) passwordless authentication strengthens user verification, backed by public key cryptography. Fluree, a permissioned blockchain based graph database, ensures decentralized storage and minimizes data tampering. Smart codes are designed based on user requirements, while integrated statistical analyses enhance data insights. This approach of integrating these technologies prioritizes transparency, security, and integrity in the data collection process while maintaining a seamless user experience. By fostering trust among stakeholders, it enables reliable, data driven decision-making. © 2025 ieee.

关键词： Public key cryptography

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Securing Wireless and Optical Networks: Advanced Strategies for Network and Information Security in Modern Communication systems

Securing Wireless and Optical Networks: Advanced Strategies ...

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2025 ieee international conference on Computational, Communication and Information Technology, ICCCIT 2025

作者： Dhasmana, Gulshan Sharma, Vishal Boob, Nandini Shirish Aravind, K. Reddy, R. Akhilesh Yadav, Kanchan Graphic Era Deemed to Be University Department of Computer Science & Engineering Dehradun India Lovely Professional University Phagwara India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamilnadu Chennai India New Horizon College of Engineering Department of Electronics and Communication Engineering Bangalore India MLR Institute of Technology Department of CSE-AI&ML Telangana Hyderabad India GLA University Department of Electrical Engineering Mathura India

ISBN: (纸本)9798331512965

In the era of rapidly changing communication systems, securing wireless and optical networks has become of essence to protect sensitive data and ensure operation. This study addresses network and information security in current communication systems by studying cutting edge techniques to enhance network and information security in wireless and optical networks. The wireless networks are convenient and may be moved around, but they are also prone to hacking, illegal access or some other cyberattacks. As optical networks possess both a large capacity and relatively low latency, it is not without special security issues such as fibre tapping and signal jamming. This study presents detailed analyses of state of the art authentication techniques, intrusion detection systems (IDS), and encryption algorithms specifically designed for these networks. Then there are, such as Quantum Key Distribution (QKD) which almost assuarly unbreakable techniques are examined alongside conventional cryptographic methods. Additionally, anomaly detection based on machine learning is explored for real time threat identification in optical and wireless channels. It stresses the need of the cross domain solutions and multi layered security frameworks covering the network layer and the physical security measures. Through case studies and recent developments in cyber threats and network resilience, this article provides a thorough understanding of how these tactics could be used to make networks such as wireless network and optical network more resilient against increasing cyber risks. © 2025 ieee.

关键词： Network intrusion

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Development and Analysis of a High-Efficiency T-Type Inverter based 3.7 kW Wireless EV Charging Applications

Development and Analysis of a High-Efficiency T-Type Inverte...

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2025 ieee international Students' conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Venugopal, R. Balaji, C. Shanmugam, Yuvaraja Srm Institute of Science and Technology Dept. of Electrical and Electronics Engineering Tamil Nadu Chennai603203 India Vignan's Foundation for Science Technology and Research Department of Eee Andhra Pradesh Vadlamudi522213 India

ISBN: (纸本)9798331529833

This paper presents the design and performance analysis of a T-type inverter optimized for wireless charging applications in electric vehicle (EV) batteries, aiming to enhance efficiency and reduce power losses. Traditional H-bridge inverter-based wireless power transfer (WPT) systems face challenges such as complex circuitry, voltage spikes, switching noise, and losses from switching, which impact overall efficiency. The proposed T-type inverter addresses these issues by improving voltage control and reducing switching losses, resulting in enhanced system efficiency. The system employs a series-series (S-S) compensation technique that provides better transmission control and performance, making it more adaptable to diverse load conditions. This compensation method, combined with optimized alignment tolerance and a high coupling coefficient, allows the system to efficiently use rectangular coils, which generate a more uniform magnetic field and minimize current loss. Designed for a 3.7 kW output at an operating frequency of 85 kHz, the T-type inverter-based WPT system was validated through MATLAB/Simulink simulations and a laboratory prototype. Results demonstrate an efficiency of 95.20% in simulation and 93.248% in hardware testing. Additionally, DC-DC efficiencies achieved are 94.78% in simulation and 96.177% in hardware. This research confirms the potential of T-type inverters in high-efficiency wireless EV charging systems. © 2025 ieee.

关键词： Inductive power transmission

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