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共 6248 条记录，以下是251-260 订阅

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A distributed Storage and Management Method for Hypertext Files and Metadata Based on Consortium Chain 4

A Distributed Storage and Management Method for Hypertext Fi...

引用

4th international Signal Processing, Communications and Engineering Management conference, ISPCEM 2024

作者： Mao, Hongliang Guo, Fumin Shi, Li Shi, Boxuan National Computer Network Emergency Response Technical Team Coordination Center Beijing China

ISBN: (纸本)9798331528676

this article provides a distributed storage and management method for hypertext files and metadata based on consortium chains. By receiving storage requests from storage users, including files to be stored, request information, and the number of storage copies, the files to be stored are fragmented into N shard sets. For each shard set, the encrypted data set and hash array corresponding to the shard set are obtained by encrypting the shards and calculating the hash of the encrypted shards. the root hash is returned to the storage user, and the encrypted data set and hash array are sent to the distributed storage system. At the same time, based on the request information and the root hash corresponding to all shard sets, we generate transaction metadata, generate transaction transactions by calling smart contracts or transactions, and broadcast them to the blockchain network. this method solves the problems of low query efficiency, difficulty in supporting fuzzy search, and complex data storage management logic in distributed storage systems. ©2024 ieee.

关键词： Blockchain Consortium Chains distributed Storage Hypertext Files and Metadata

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Protecting Patient Privacy and Data Integrity With DAG Technology for IoMT and EHR: A Systematic Review 4

Protecting Patient Privacy and Data Integrity With DAG Techn...

引用

4th international conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2024

作者： Reoukadji, Dior Masrane Bokonda, Patrick Loola Madi, Abdessalam Ait Alihamidi, Imam National School Of Applied Sciences Ibn Tofail University Advanced Systems Engineering Laboratory Kenitra Morocco Ecole Nationale Superieure Des Mines Listd Laboratory Ssdt Team Rabat Morocco

ISBN: (纸本)9798350309508

this paper presents a systematic study of distributed Acyclic Graph (DAG) and Blockchain technologies, which are two growing technologies that can be implemented with IoMT (Internet of Medical things) and EHRs (Electronic Health Records) to ensure security, privacy, scalability, and data availability of patient's data related to their treatment process and diagnoses. this goal is achieved by using, the PRISMA (Preferred Reporting Items for Systematic Reviews and MetaAnalyses) model and papers published in journals indexed in scientific databases, namely Scopus and Web of Science. the results of analyze and discussion are presented and a novel architecture based on IoMT-EHR and DAG technologies (Tangle) is proposed. this last one is designed to significantly accelerate operations, ensure robust security and enhance scalability for its users. © 2024 ieee.

关键词： distributed ledger

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Neuromorphic Piezomems sensor Using Epitaxial BiFeO3 thin Film 38

Neuromorphic Piezomems Sensor Using Epitaxial BiFeO3 Thin Fi...

引用

38th ieee international conference on Micro Electro Mechanical systems, MEMS 2025

作者： Yamamoto, Sena Kiuch, Mario Yoshimura, Takeshi Sumitomo Precision Products Co. Ltd Japan Osaka Metropolitan University Japan

ISBN: (纸本)9798331508890

Neuromorphic sensors using piezoelectric MEMS resonators developed by adapting physical reservoir computing (PRC) algorithm. the device has two resonators with a resonant frequency of about 1 kHz, which is in the audible range. To fabricate the resonators, we used (100) BiFeO3 epitaxial thin films because it has moderate relative permittivity (~100) and piezoelectric coefficient (~-4 C/m2), which are advantageous for both high sensitivity and miniaturization. the fabricated device demonstrates the prediction of exclusive OR (XOR) values of random binary data that requires nonlinearity and short-term memory. these results suggest the potential feasibility of neuromorphic acoustic sensors. © 2025 ieee.

关键词： Piezoelectric transducers

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A Systematic Review on sensor Fusion Technology in Autonomous Vehicles 4

A Systematic Review on Sensor Fusion Technology in Autonomou...

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4th international conference on Electronics and Sustainable Communication systems, ICESC 2023

作者： Kumar, Akshay Stephen, K. Sai Sabitha, A. Hindustan Institute of Technology and Science Dept of Cse Tamil Nadu Chennai India

ISBN: (纸本)9798350300093

sensor fusion technology is a critical component of autonomous vehicles, enabling them to perceive and respond to their environment with greater accuracy and speed. this technology integrates data from multiple sensors, such as lidar, radar, cameras, and GPS, to create a comprehensive understanding of the vehicle's surroundings. By combining and analyzing this data, sensor fusion technology can identify objects, predict their movements, and make decisions about the best course of action. In this way, it enables autonomous vehicles to operate safely and reliably in complex environments, such as urban streets or highways. sensor fusion technology is a rapidly evolving field, and researchers are continually developing new algorithms and techniques to improve its accuracy and reliability. © 2023 ieee.

关键词： Autonomous vehicles

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TSITE IP: A Case Study of Intellectual Property distributed Platform based on Cloud Services 23

TSITE IP: A Case Study of Intellectual Property Distributed ...

引用

23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Wang, Yang School of Intellectual Property Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9781665494571

In recent years, the 'whole chain' development level of China's intellectual property creation, protection and application has been greatly improved. At the same time, cloud computing technology is booming, and intellectual property data distributed platforms based on cloud storage are emerging one after another. Firstly, this paper introduces the domestic intellectual property cloud platform services from the perspectives of government, state-owned enterprises and private enterprises;Secondly, four typical distributed platforms provided by commercial resources are selected to summarize the problems faced by the operation mode of domestic intellectual property services;then, it compares and discusses the functions and service modes of domestic intellectual property distributed platform, and takes TSITE IP as an example, puts forward the design and construction strategies of intellectual property protection, intellectual property operation service distributed platform and operation service mode under the background of information age. Finally, according to the development of contemporary information technology, this paper puts forward challenges and development direction for the future development of intellectual property platform. © 2021 ieee.

关键词： Computers Cloud computing Government distributed databases Intellectual property Market research Information age

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Performance Evaluation of Secure Association Rule Mining Method over distributed Databases Using FDM, Secure Scalar Dot Product, Data Perturbation and RSA Techniques 4

Performance Evaluation of Secure Association Rule Mining Met...

引用

4th ieee international conference on Data Engineering and Communication systems, ICDECS 2024

作者： Basha, Murtaza Saadique Devi, J.Sumithra C. Abdul Hakeem College of Engg. & Technology Department of Mca Tamil Nadu India Bharathiyar University Dept of Computer Science Tamil Nadu India

ISBN: (纸本)9798350393354

Association patterns generated from association rule mining (ARM) process may contain sensitive data and revealing it will cause potential privacy threats. this problem evolves even poorer if ARM is performed on distributed databases. there exists many ways by which sensitive data leakage can be handled and each method employs its own style to gain privacy, and each method is having its own pros and cons. We perform the performance analysis of secure association rule mining process, here in this paper, using four different strategies, viz. Fast distributed Mining method, Secure Scalar Dot Product method, Data Perturbation method and Fast distributed Mining with RSA algorithm. From experimental results, it is clear that Fast distributed Mining of association rules along with cryptographic technique viz. RSA algorithm is flexible and ensures privacy on different global support counts. © 2024 ieee.

关键词： Data mining

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Attack Generation for Smart Grid Network Using GAN Simulator 4

Attack Generation for Smart Grid Network Using GAN Simulator

引用

4th international conference on Computer, Communication, Control and Information Technology, C3IT 2024

作者： Das, Subhashis Pal, Arindrajit Dasgupta, Subhasis Academy of Technology Adisaptagram India University of California San DiegoCA United States

ISBN: (纸本)9798350389128

In recent years, extensive research has been conducted on the risk of false data injection (FDI) attacks, which has led to major concerns about the potential consequences of these attacks in real-world situations. False data injection attacks pose significant risks to contemporary infrastructure. Recent trends have shown a noticeable rise in cyber attacks targeting critical infrastructure, including major electrical grids, distributed energy resources (DER), and SCADA-based electrical grids. Control systems in multiple sites have been consistently targeted. this paper outlines the attack model, which is divided into two main portions. Initially, we create the model and execute the simulator. In the second section, we employ the simulator to depict various scenarios, elucidate our algorithm, and expound on the simulation procedure. this study investigates two attack scenarios, demonstrating the attacker's effectiveness in compromising meters and altering state estimate outcomes. the text presents the use of a Generative Adversarial Network to improve the accuracy of estimation data and investigates different techniques for identifying the injection of false data. the validation process involves conducting simulations on ieee test systems to confirm the effectiveness of the attacks. © 2024 ieee.

关键词： detection methods distributed energy resources false data injection Generative Adversarial Network state estimation

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Design and Realization of Intelligent Airborne Information Processing Concept Simulation System 24

Design and Realization of Intelligent Airborne Information P...

引用

24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Xie, Jianchun Bai, Linting Luo, Qing Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer Avic Xi'an Aeronautics Computing Technique Research Institute Xi'an China College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanning China Shenyang Aircraft Design and Reserch Institute Shenyang China

ISBN: (纸本)9798350319934

Facing the development trend of future distributed cloud operations, intelligent operations, and the technical requirements of multi-machine collaborative operations in the aviation field, this paper further studies the unified data transmission and management of multiple platforms based on the research of the unified cloud intelligent combat system architecture. distributed data storage and management, multi-platform open information processing resource management and other key technologies, on the basis of the principle prototype designed and implemented by ourselves, a set of conceptual simulation platforms have been constructed for the simulation and technical verification of the entire airborne information processing system. © 2022 ieee.

关键词： distributed cloud

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A Novel Approach for Securing Federated Learning: Detection and Defense Against Model Poisoning Attacks

A Novel Approach for Securing Federated Learning: Detection ...

引用

4th ieee Annual international conference on Cyber Security and Resilience (ieee CSR)

作者： Cristiano, Giovanni Maria D'Antonio, Salvatore Uccello, Federica Univ Naples Parthenope Ctr Direz Isola C4 I-80133 Naples Italy

ISBN: (纸本)9798350375367

Federated Learning (FL) holds great promise for collaborative model training across distributed devices. However, it faces a significant threat: model poisoning attacks. In particular, Byzantine attacks can severely compromise the accuracy of FL systems. through experimental analysis, we demonstrate a significant degradation in network accuracy as the percentage of malicious participants increases, underscoring the critical need for robust defense mechanisms. Our proposed detection strategy, based on clustering algorithms, exhibits promising results in identifying outliers and potential attackers, offering a proactive approach to safeguarding FL systems against adversarial manipulation. this work underscores the critical necessity of implementing robust detection and mitigation strategies to improve the resilience of Federated Learning against increasingly sophisticated and pervasive attacks.

关键词： Federated learning

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A Physics and Data-Driven Hybrid PINNs Intelligent computing Method for Nuclear Engineering Simulation 4

A Physics and Data-Driven Hybrid PINNs Intelligent Computing...

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4th international conference on Electronic Information Engineering and Computer Science, EIECS 2024

作者： Xie, Yufei Wang, Wenlin Wu, Guohua Yu, Yang An, Ping Sun, Zibin Zhang, Haichuan Luo, Shengfeng Li, Yue School of Automation Wuhan University of Technology Wuhan China Sino-German College of Intelligent Manufacturing Shenzhen Technology University Shenzhen China Nuclear Power Institute of China Chengdu China National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing Changsha China

ISBN: (纸本)9798331531409

In the field of nuclear energy, the Loss of Coolant Accident (LOCA) is recognized as one of the most severe types of nuclear reactor accidents, characterized by its complex physical processes and potentially catastrophic consequences. these challenges impose stringent requirements on safety analysis and emergency response. Accurate prediction and analysis of fluid behavior within pipelines under LOCA conditions are critical for evaluating accident outcomes and formulating response strategies. this paper introduces an innovative intelligent computing approach - a Physics-Informed Neural Networks (PINNs) model driven by both physical data and simulation data, specifically tailored for LOCA conditions. To address the challenges posed by multivariable and complex physical relationships, the six-equation two-fluid model is first simplified to represent the physical processes. Subsequently, a dual-driven PINNs network is developed, integrating both simulation data and physical constraints. the proposed model demonstrates a root mean square error (RMSE) of 0.02, a mean absolute error (MAE) of 0.044, and an R2 of 0.81 in predicting the outcomes under the six-equation model. © 2024 ieee.

关键词： Nuclear energy

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