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检索条件"任意字段=6th International Conference on Distributed Computing and Internet Technology"

共 8755 条记录，以下是21-30 订阅

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An Overview of Criteria for Customizing Blockchain Consensus Algorithms for IoT Networks 6

An Overview of Criteria for Customizing Blockchain Consensus...

引用

6th international conference on Intelligent computing in Data Sciences, ICDS 2024

作者： Aghroud, Mohamed Oualla, Mohamed Jakimi, Abdeslam Elbermi, Lahcen GLISI Teams FST Errachidia Department Computer Science My Ismail University Errachidia Morocco

ISBN: (纸本)9798350351200

the internet of things (IoT) describes a network in which devices are interconnected and equipped with sensors and software, and other advanced technologies, enabling the collection and exchange of data. these devices are designed for operation in power-constrained environments, which impose limitations on processing power, memory, and energy resources. Nevertheless, they possess the capability to communicate with additional devices autonomously, eliminating the need for human intervention. However, IoT networks encounter various challenges, including system diversity, network complexity, and resource limitations of IoT devices. To address these challenges, blockchain technology offers promising solutions by employing consensus algorithms to replace centralized validation mechanisms. this paper offers a thorough analysis of the essential criteria for tailoring blockchain consensus algorithms to the specific needs of IoT networks, addressing factors such as latency, storage capacity, data security, and computational power. © 2024 IEEE.

关键词： Blockchain Blockchain technology Consensus algorithm Consensus protocol internet of things IoT

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BDE 2024 - 2024 6th international conference on Big Data Engineering

BDE 2024 - 2024 6th International Conference on Big Data Eng...

引用

2024 6th international conference on Big Data Engineering, BDE 2024

ISBN: (纸本)9798400717857

the proceedings contain 24 papers. the topics discussed include: soft single-branch ensemble trees for anomaly detection;integrating online learning and causal inference strategies for big data analysis and prediction;rating refinement and optimized clustering for rating prediction using collaborative filtering;toward deep learning based intrusion detection system: a survey;post-quantum attribute-based authenticated key agreement protocol for smart healthcare;GB-GAIN: granular-ball conditional generative adversarial imputation networks for incomplete data;state-of-the-art review on intelligent computing-based privacy preservation technologies for power internet of things;and fuzzy-based trust in distributed networks: a state-of-the-art review.

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Enhanced Authentication Protocol for Securing internet of Medical things with Lightweight Post-Quantum Cryptography 6

Enhanced Authentication Protocol for Securing Internet of Me...

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6th IEEE international conference on Artificial Intelligence in Engineering and technology, IICAIET 2024

作者： Man Lo, Chris Ka Tan, Soo Fun Chung, Gwo Chin Universiti Malaysia Sabah Cybersecurity Research Lab Faculty of Computing and Informatics Sabah Kota Kinabalu Malaysia Universiti Malaysia Sabah Creative Advanced Machine Intelligence Research Centre Faculty of Computing and Informatics Sabah Kota Kinabalu Malaysia Multimedia University Faculty of Enginerering Cyberjaya Malaysia

ISBN: (纸本)9798350389692

As the healthcare sector transitions to the internet of Medical things (IoMT), it promises significant improvements in productivity by streamlining processes, reducing administrative burdens, and automating routine tasks. However, the current authentication methods are vulnerable due to reliance on simple passwords and a lack of additional protective layers, posing a heightened risk of data breaches. Given the significant value of medical data, security measures for medical devices remain inadequate, especially in safeguarding user and device identities against future quantum computing threats. this paper proposes an enhanced authentication protocol aimed at ensuring the confidentiality and integrity of medical data. the protocol validates user and device identities while incorporating post-quantum cryptography to address upcoming challenges posed by quantum technology. © 2024 IEEE.

关键词： Quantum computers

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Design and Application Research of Intelligent Interactive System Based on internet of things technology 6

Design and Application Research of Intelligent Interactive S...

引用

6th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2024

作者： Wu, Haolong Xu, Daisheng Luo, Lihua Xu, Yaowu Yang, Peng Xiamen University of Technology Xiamen China Tech Co. Ltd Xiamen China

ISBN: (纸本)9798350374315

In order to solve the problems of the low sense of participation in the project, inconvenient control of the equipment and complex control process, an intelligent interactive system is designed in this paper. the system takes STM32F103ZET6 micro controller as the core, and adopts a new device module, which can accurately perceive the behavior and action of the specific location. through the serial port protocol, the system can efficiently send and receive relevant instructions to realize the interaction between internet of things devices. this ESP8266WiFi network communication module was used for network communication to realize the network between the host computer platform and Ali Cloud. this paper uses the Ali Cloud platform can realize the implementation of the equipment information supervision and facilitate the maintenance of equipment damage in the later stage. the test results show that the intelligent interactive system realizes the design functions, which is expected to improve the interactive experience and project attraction of immersive projects, improve the control efficiency of the equipment, and simplify the operation process. © 2024 IEEE.

关键词： Cloud platforms

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Research on blockchain architecture for terminal side business applications of distributed iot 6

Research on blockchain architecture for terminal side busine...

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6th international conference on Energy, Power and Grid, ICEPG 2024

作者： Pan, Xiukui Yang, Ke Li, Na Zheng, Shangzhuo Guo, Qinglei Co. Ltd Beijing100032 China State Grid Digital Technology Holdings Co. Ltd Beijing100032 China Blockchain Application Technology Laboratory State Grid Corporation of China Beijing100053 China

ISBN: (纸本)9798350377798

As the most important energy exchange hub of the new power system, the distribution network is of great significance for supporting clean energy production and electricity substitution for energy consumption. the blockchain-based distribution network supports distributed power generation and has the function of good interaction with the main network and users, adapting to the construction and development of a strong intelligent distribution network. the focus of this article is on the authenticity and security requirements of data on the intelligent terminal side of the distributed internet of things system. A blockchain and chip software and hardware collaborative technology framework are designed for the terminal side business, and an embedded edge intelligent framework and efficient parallel blockchain hardware acceleration architecture are designed. Ultimately, high-performance, highly trusted, and highly secure underlying technology support is provided for blockchain end-side applications, creating a trustworthy software and hardware integrated environment, hence improving the operational efficiency of the underlying blockchain platform, reducing blockchain latency, and supporting adaptation to multiple types of blockchain basic service platforms. © 2024 IEEE.

关键词： Power distribution networks

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Quality of Experience Aware Task Offloading in Digital Twinning Vehicular Edge computing 20

Quality of Experience Aware Task Offloading in Digital Twinn...

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20th Annual international conference on distributed computing in Smart Sensor Systems and the internet of things (DCOSS-IoT)

作者： Jihad, Mostakim Rodshi, Mashraba Tasnim Al Fahad, Abdullah Roy, Palash Razzaque, Md Abdur Hassan, Mohammad Mehedi Green Univ Bangladesh Dept Comp Sci & Engn Dhaka Bangladesh Univ Dhaka Dept Comp Sci & Engn Green Networking Res Grp Dhaka Bangladesh King Saud Univ Coll Comp & Informat Sci Informat Syst Dept Riyadh 11543 Saudi Arabia

ISBN: (纸本)9798350369458;9798350369441

Adopting Digital Twin (DT) technology in vehicular edge computing (VEC) enables efficient capture of real-time state information of applications, thereby addressing complex task scheduling problems. Existing literature studies considered only minimizing service latency for task offloading;however, there is room for exploring strategies to enhance user Quality of Experience (QoE) in timeliness and reliability domains. In this paper, we have developed an optimization framework using Mixed Integer Linear Programming (MILP), namely QuETOD, which minimizes service latency by allocating task execution responsibility to highly reliable and reputed vehicles in a DT-enabled VEC environment. the developed QuETOD framework clusters the vehicles based on the demand-supply theory of economics by considering computing resources and utilizing the multi-weighted subjective logic for getting the proper reputation update of the vehicles. the experimental results of the developed QuETOD system depict significant performance improvement in terms of QoE and reliability compared to the state-of-the-art works as high as 15% and 25%, respectively.

关键词： Vehicular Edge computing Task Offloading Digital Twin Quality-of-Experience

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Beyond Detection: Leveraging Large Language Models for Cyber Attack Prediction in IoT Networks 20

Beyond Detection: Leveraging Large Language Models for Cyber...

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20th Annual international conference on distributed computing in Smart Sensor Systems and the internet of things (DCOSS-IoT)

作者： Diaf, Alaeddine Korba, Abdelaziz Amara Karabadji, Nour Elislem Ghamri-Doudane, Yacine Badji Mokhtar Annaba Univ LRS Annaba Algeria Natl Higher Sch Technol & Engn Annaba Annaba Algeria Lab Technol Syst Energet LTSE E3360100 Annaba Algeria Univ La Rochelle L3I La Rochelle France

ISBN: (纸本)9798350369458;9798350369441

In recent years, numerous large-scale cyberattacks have exploited internet of things (IoT) devices, a phenomenon that is expected to escalate with the continuing proliferation of IoT technology. Despite considerable efforts in attack detection, intrusion detection systems remain mostly reactive, responding to specific patterns or observed anomalies. this work proposes a proactive approach to anticipate and mitigate malicious activities before they cause damage. this paper proposes a novel network intrusion prediction framework that combines Large Language Models (LLMs) with Long Short Term Memory (LSTM) networks. the framework incorporates two LLMs in a feedback loop: a fine-tuned Generative Pre-trained Transformer (GPT) model for predicting network traffic and a fine-tuned Bidirectional Encoder Representations from Transformers (BERT) for evaluating the predicted traffic. the LSTM classifier model then identifies malicious packets among these predictions. Our framework, evaluated on the CICIoT2023 IoT attack dataset, demonstrates a significant improvement in predictive capabilities, achieving an overall accuracy of 98%, offering a robust solution to IoT cybersecurity challenges.

关键词： Security Intrusion Prediction GPT BERT Large Language Models LSTM internet of things (IoT)

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USRD: User-Searchable and Revocable Data Sharing Scheme in Multi-Fog-IoVs 6

USRD: User-Searchable and Revocable Data Sharing Scheme in M...

引用

6th international conference on Next Generation Data-Driven Networks, NGDN 2024

作者： Jiang, LuYao Li, Yongkang Chen, DongDong Gu, Ke Zuo, YiMing School of Computer and Communication Engineering Changsha University of Science & Technology ChangSha China

ISBN: (纸本)9798350388374

Aiming at the security of data sharing in the internet of vehicles environment, we propose a user-searchable and revocable data-sharing scheme in the Multi-Fog-IoVs. the scheme utilizes a fog node to alleviate the computing burden on users and enhance the computing efficiency of the system. the Garbled Bloom filter and inverted index are used to create a bidirectional index for efficient multi-keyword search and document retrieval. Furthermore, a flexible and efficient user revocation mechanism is constructed while realizing the dynamic updates of data security. Finally, the safety analysis and performance evaluation of the proposed scheme are conducted, and the results indicate that the scheme meets both forward and backward safety requirements while demonstrating outstanding retrieval efficiency. © 2024 IEEE.

关键词： Fog computing

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State-of-the-art Review on Intelligent computing-based Privacy Preservation Technologies for Power internet of things 24

State-of-the-art Review on Intelligent Computing-based Priva...

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6th international conference on Big Data Engineering (BDE)

作者： Huang, Hao Chen, Wentao Fang, Weidong Li, Zhiqi Chen, Wei Ip, Wai-Hung Yung, Kai-Leung Hubei Univ Fac Microelect Micronanoelect Mat & Devices Wuhan 430062 Hubei Peoples R China State Grid Xinjiang Co Ltd Elect Power Res Inst Urumqi 830011 Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Sci & Technol Microsyst Lab Shanghai 201899 Peoples R China Univ Chinese Acad Sci Sch Elect Elect & Commun Engn Beijing 100049 Peoples R China Shanghai Res & Dev Ctr Micronano Elect Shanghai 201210 Peoples R China China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China Hong Kong Polytech Univ Dept Ind & Syst Engn Hong Kong 100872 Peoples R China

ISBN: (纸本)9798400717857

In the power internet of things (power IoTs), the connections between many electric power equipments and modules with sensing and communication functions are facing the security challenge and privacy disclosure risk. Artificial intelligence (AI),especially intelligent computing, is widely acknowledged as an effective approach for preserving privacy. However, there remains a notable gap for a comprehensive review paper focused on intelligent computing-based privacy preservation technologies in power IoTs. therefore, conducting a state-of-the-art review on this subject has become imperative. In this paper,the recent relevant research works are aimed to compare and analyze. Moreover,the privacy preservation schemes based on AI are summarized. Lastly, the conclusions are provided.

关键词： Power internet of things Artificial Intelligence Privacy Preservation Security Intelligent computing

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Real-Time Sentiment Analysis Pipeline for Yelp Customer Feedback using ChatGPT’s LLM and distributed Systems 6

Real-Time Sentiment Analysis Pipeline for Yelp Customer Feed...

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6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Revathy, S. Shahid, J. Mohammad Salih, S. Computer Science and Engineering St.Joseph’s Institute of Technology Tamil Nadu Chennai India

ISBN: (纸本)9798331522667

this work proposes a real-time sentiment analysis pipeline on customer feedback using Yelp and addresses the high-volume dynamic user-generated contents processing problem. the proposal integrates state-of-the-art machine learning models and distributed systems, making use of Large Language Models within a Docker container called ChatGPT for the real-time sentiments analysis. the system ingests live Yelp data streams through TCP/IP, processes them in a scalable Apache Spark cluster, and ensures that data flows seamlessly through Apache Kafka. Enriched feedback is indexed into Elasticsearch, providing powerful analytics and visualizations through tools like Kibana, Tableau, and Power BI. the low-latency design of the pipeline gives enterprises actionable insights for real-time decision-making, enabling enhanced customer sentiment analysis and business intelligence. Scalable and efficient, this architecture fits all large volume Enterprise Feedback Management (EFM) needs when looking to achieve insights fast from customer sentiment. © 2025 IEEE.

关键词： Sales

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