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检索条件"任意字段=5th International Conference on Distributed Computing and Internet Technologies"

共 3957 条记录，以下是11-20 订阅

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Edge of Innovation: Exploring the Potential of Edge computing and Content Delivery Networks 5

Edge of Innovation: Exploring the Potential of Edge Computin...

引用

5th IEEE international conference on computing, Power, and Communication technologies, IC2PCT 2024

作者： Dash, Yajnaseni Kumar, Naween Abraham, Ajith Bennett University School of Computer Science Engineering and Technology Uttar Pradesh India

ISBN: (纸本)9798350383522

the digital landscape has changed in recent years due to the rise in popularity of edge computing and Content Delivery Networks (CDNs), which offer faster and more effective internet access. Edge computing, a solution to cloud computing constraints in the internet of things (IoT), offers scalability and smarter service delivery, but also faces challenges like power distribution and privacy protection. Conversely, CDNs enhance network performance by distributing content among cache servers near users, resulting in faster, more reliable apps and services, acting as reliable overlay networks. Edge computing and CDNs are becoming mainstream tech solutions that may improve many applications. this paper examines the advancements in both edge computing and CDNs across various disciplines, highlighting their revolutionary potential on the internet. It also investigates the intricate developments in these technologies, emphasizing their role in creating a networked world. © 2024 IEEE.

关键词： Content Delivery Networks Edge computing internet of things (IoT) IoT networks

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An Atom Quest Optimizer for CNN to Distinguish IDs in SDN and IoT Eco System 5

An Atom Quest Optimizer for CNN to Distinguish IDs in SDN an...

引用

5th IEEE international conference on computing, Power, and Communication technologies, IC2PCT 2024

作者： Devi, V.S. Anusuya Raj, Vijilius Helena Kavin, Balasubramanian Prabhu Gangadevi, E. Balusamy, Balamurugan Gite, Shilpa New Horizon College of Engineering Ring Road Bellandur Post Bengaluru India Srm Institute of Science and Technology Department of Data Science and Business Systems Chengalpattu Kattankulathur India Loyola College Department of Computer Science Chennai India Delhi India Symbiosis Institute of Technology Aiml Department Pune India Pune India

ISBN: (纸本)9798350383522

Security has become crucial as internet of things (IoT) applications have grown in popularity. the prevalence of IoT vulnerabilities was recently exposed by a distributed denial-of-service (DDoS) assault, and many IoT strategies unintentionally assisted in the DDoS attack. the new software-defined anything (SDx) paradigm offers a method for managing IoT devices in a secure manner. We initially provide a broad agenda for the software-defined internet of things (SD-IoT) in this paper, which is based on the SDx paradigm. the implementation of an IDS based on Deep Learning (DL) procedures into an SDN construction is the focus of this paper, which also suggests a very real-world method to shorten the delay by using the consecutive implementation of prototypes with cumulative hardware difficulty. this method enables quick tests to identify the key issues, address them, and then implement the solution. © 2024 IEEE.

关键词： Atom Search Optimization Algorithm Convolutional Neural Network Deep Learning distributed Network internet of things

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Towards a Framework for Analyzing the Suitability of DLTs for Integration in the IoT 5

Towards a Framework for Analyzing the Suitability of DLTs fo...

引用

5th international conference on Blockchain computing and Applications, BCCA 2023

作者： Perscheid, Guido Moormann, Jurgen Center for Deep Tech Innovation JadenX GmbH Berlin Germany Frankfurt School of Finance & Management Management Department Frankfurt a.M. Germany

ISBN: (纸本)9798350339239

the internet of things (IoT) is marked by the presence of a versatile network of devices employing various forms of communication and data types. Due to their distributed nature and the generation of extensive data, IoT nodes often encounter obstacles such as hardware and storage limitations, security vulnerabilities, and lack of interoperability. To mitigate these challenges, researchers have proposed the integration of distributed Ledger technologies (DLTs), such as blockchain or Directed Acyclic Graph (DAG). To this end, researchers have begun analyzing the applicability of DLTs for IoT applications on a case-specific basis. However, DLTs differ with respect to the consensus protocols implied. Hence, there is a need for developing a framework defining categories for evaluating the integration of different DLT consensus protocols for IoT applications. this research-in-progress paper should be seen as a first approach to a framework that can evaluate the suitability of different DLTs for IoT applications. © 2023 IEEE.

关键词： internet of things

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MGC-Chain: A Blockchain Framework for distributed Maritime Computation 5

MGC-Chain: A Blockchain Framework for Distributed Maritime C...

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5th international conference on Computer, Big Data and Artificial Intelligence, ICCBD+AI 2024

作者： Huang, Wei Liu, Jin Liu, Yuxin Wei, Lai Zhong, Dingchen Shanghai Maritime University College of Information Engineering Shanghai China University of La Verne LaFetra College of Education CA La Verne United States

ISBN: (纸本)9798331533991

With the rapid development of the coastal shipping industry, vessels face challenges of insufficient real-time data processing and computing power in complex marine environments, along with increasingly prominent energy consumption issues. To address these challenges, we propose an intelligent computing platform for vessels that integrates GPU and blockchain technologies. this platform consolidates idle GPU computing power to form a GPU computing pool, functioning similarly to a computing reservoir, allowing vessels to draw computing power in real time based on demand. We utilize blockchain technology to enhance system security, preventing data tampering and ensuring the safe handling of sensitive information. Additionally, by integrating edge computing technologies, we decentralize computing capabilities to coastal GPU providers, thereby reducing reliance on centralized cloud computing platforms. We believe this is the first intelligent computing platform to combine distributed GPUs, blockchain, and maritime computing power. © 2024 IEEE.

关键词： Cloud platforms

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distributed Event Triggered Secondary Control of Islanded Microgrid System 5

Distributed Event Triggered Secondary Control of Islanded Mi...

引用

5th IEEE international conference on Advances in Electrical, computing, Communication and Sustainable technologies, ICAECT 2025

作者： Rao, B.Chiranjeev Ralhan, Shimpy Department of Electrical Engineering Shri Shankaracharya Technical Campus Bhilai India Department of Electrical & Electronics Engineering Shri Shankaracharya Technical Campus Bhilai India

ISBN: (纸本)9798350356236

the demand for decentralized control techniques in DC microgrids has increased due to their ability to enhance scalability, reduce communication requirements, and improve overall system efficiency. this paper presents a distributed event-triggered secondary control strategy for DC microgrids, aiming to regulate voltage and manage power sharing in a cost-effective and scalable manner. By implementing event-triggered mechanisms, communication between distributed energy resources (DERs) is minimized, leading to reduced overhead while ensuring system stability. this article investigates an event-triggered mechanism that incorporates event detection and adaptive control strategies to maintain frequency, voltage, proportional current and powersharing stability, while avoiding unnecessary controller interactions. © 2025 IEEE.

关键词： Decentralized control

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Blockchain Technology in IoT and IIoT Environments 5

Blockchain Technology in IoT and IIoT Environments

引用

5th international conference on Blockchain computing and Applications, BCCA 2023

作者： Saad, Alghashmari Abdulaziz, Alnori King Abdulaziz University Faculty of Computing and Information Technology Jeddah Saudi Arabia

ISBN: (纸本)9798350339239

computing has become available everywhere due to the huge spread of the internet of things (IoT) technologies across multiple and diverse areas. IoT expands internet connectivity and connects several devices to the internet, in addition to collecting and processing data for decision-making. IoT technology has grown significantly across various industrial sectors with several and varied applications. On the other hand, the Industrial internet of things (IIoT) technology is based on a centralized architecture, which has the disadvantage of being likely to be exposed to an attack affecting the availability or leading to decision-making errors. therefore, Blockchain technology is an appropriate solution combined with IIoT technologies. It shows a marked potential to raise the level of security within the IIoT, when the IIoT is in the form of a distributed ledger relying on decentralization. Decentralization limits or mitigates tampering, as it maintains data records across varied and multiple locations. this distinguishing feature of Blockchain technology also resolves problems, such as heterogeneity in traditional IoT networks. However, integrating Blockchain technology with IIoT systems leads to several challenges, such as environmental operability, scalability, and standardization. therefore, this research study provides a comprehensive overview of IIoT security and investigates how IIoT security and privacy can be enhanced by using Blockchain technology. It also discusses recent research trends in the area and the use of Blockchain technology for risk management in IIoT systems. © 2023 IEEE.

关键词： Risk management

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Electronic IoT Technology and Cloud computing in Intelligent Manufacturing Industry 5

Electronic IoT Technology and Cloud Computing in Intelligent...

引用

5th international conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)

作者： Xiao, Guannan Chengdu Polytech Chengdu 610041 Peoples R China

ISBN: (纸本)9798350363272;9798350363265

Traditional research is often limited to the independent application of electronic internet of things (IoT) technology or cloud computing, and lacks integration research between the two, resulting in certain limitations in collaboration and efficiency when applied in the intelligent manufacturing industry. this article combines electronic IoT technology and cloud computing, using intelligent algorithms to promote the synergy of various technologies in the intelligent manufacturing industry and improve production efficiency. Collecting large-scale intelligent manufacturing data through sensors, this article would store the collected data on cloud platforms and preprocess it. It intelligently analyzes intelligent manufacturing data through an improved Long Short Term Memory (LSTM) model. the directions for improving LSTM models include introducing attention mechanisms and Dropout regularization techniques. the results show that the average output input ratios of traditional manufacturing enterprises and intelligent manufacturing enterprises are 1.35 and 3.87, respectively. therefore, the application of electronic IoT technology and cloud computing can effectively improve the production efficiency of intelligent manufacturing.

关键词： Intelligent Manufacturing Electronic IoT Cloud computing Improved Long Short-Term Memory

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EdgeGuard: Real-Time Rule-Based Spam Detection for IOTA Tangle on Edge Devices 5

EdgeGuard: Real-Time Rule-Based Spam Detection for IOTA Tang...

引用

5th IEEE international conference for Emerging Technology, INCET 2024

作者： Arunodhai, V. Susan, Leena P. Kannimoola, Jinesh M. Department of Computer Science and Applications Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9798350361155

Our research paper addresses the pressing security challenges emerging within the rapidly expanding internet of things (IoT) landscape, with a specific focus on the IOTA Tangle-a distributed ledger based on Directed Acyclic Graph (DAG) technology. the proliferation of IoT devices has heightened the demand for secure and efficient transaction processing on distributed ledgers, but this surge also amplifies the risk of spam transactions that can compromise the integrity and efficiency of the ledger. In response to this imperative, we introduce EdgeGuard-a sophisticated rule-based spam detection system implemented on edge devices. this real-time system dynamically analyzes transaction data, applying predefined rules to differentiate between legitimate transactions and spam. Immediate action is taken to prevent spam transactions from infiltrating the IOTA Tangle, and the use of edge devices enhances the efficiency of spam detection by alleviating the load on servers. Notably, the system includes integration with real-time alerts using a messaging channel to notify system owners when spam transactions are identified. the effectiveness of EdgeGuard is rigorously validated through real-world data scenarios, demonstrating its capacity to thwart potentially harmful transactions. this research paper significantly contributes to the broader discourse on decentralized security measures, emphasizing the paramount importance of fortifying distributed ledgers. this is particularly crucial in critical IoT applications where unauthorized transactions could yield severe consequences. EdgeGuard stands as a robust solution, embodying innovation in tackling the evolving challenges posed by the intersection of IoT and distributed ledger technologies. © 2024 IEEE.

关键词： internet of things

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the internet of Energy Systems: Blockchain and Smart Contracts meet Federated Learning 5

The Internet of Energy Systems: Blockchain and Smart Contrac...

引用

5th IEEE international conference on Blockchain and Cryptocurrency (ICBC)

作者： Zekiye, Abdulrezzak Ozkasap, Oznur Koc Univ Dept Comp Engn Istanbul Turkiye

ISBN: (纸本)9798350310191

the internet of Energy (IoE) is a distributed paradigm that integrates smart networks and internet technology. In contrast to traditional centralized energy systems, distributed Energy internet systems with multiple components and communication requirements necessitate innovative technologies for decentralization, reliability, efficiency and security. Novel blockchain architectures, smart contracts, and distributed federated learning technologies offer new opportunities for decentralized Energy internet services. In this paper, we classify state-of-the-art solutions utilizing blockchain, smart contracts, and federated learning for the IoE domains. In this context, four representative system models are identified and discussed. these models demonstrate various ways in which blockchain, smart contracts, and federated learning can be integrated to support the main domains of IoE, namely distributed energy trading and sharing, smart microgrid energy networks, and electric and connected vehicle management.

关键词： internet of Energy Federated Learning Blockchain Energy trading Vehicle management Smart microgrids

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IoTinuum: the IoT computing Continuum 20

IoTinuum: The IoT Computing Continuum

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

作者： Kamienski, Carlos Zyrianoff, Ivan Bittencourt, Luiz Fernando Di Felice, Marco Fed Univ ABC Santo Andre SP Brazil Univ Bologna Bologna Italy Univ Estadual Campinas Campinas SP Brazil

ISBN: (纸本)9798350369458;9798350369441

IoT smart applications must deal with the inherently distributed nature of IoT infrastructures that may vary among different deployments. For example, in urban environments, some deployments may require distributed edge nodes to support the sensors and actuators, while others may skip this processing stage and go directly to the cloud. We propose the concept of an IoT computing Continuum, or IoTinuum, with multiple computing stages spread over the distributed IoT infrastructure. We present the modeling and implementation of two urban use cases for a 6-stage IoTinuum: smart drone delivery and smart structural monitoring. In our experience, the IoTinuum improves the understanding of function placement in application development and reveals important performance tradeoffs.

关键词： edge computing fog computing IoT smart applications

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