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

共 3958 条记录，以下是61-70 订阅

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A Detailed Review on Intelligent Intrusion Prediction Techniques for Software Defined internet of things Clouds Networks 5

A Detailed Review on Intelligent Intrusion Prediction Techni...

引用

5th IEEE international conference on Advances in computing, Communication Control and Networking, ICAC3N 2023

作者： Kranthi, S. Kanchana, M. Suneetha, M. Srmist Department Of Computing Technologies Kattankulathur India Velagapudi Ramakrishna Siddhartha Engineering College Department Of It India

ISBN: (纸本)9798350330861

the internet of things (IoT) and Software Defined Networks (SDN) are growing in popularity due to major application possibilities in various communication-related applications. IoT's major objective is to connect electronic devices over the internet, whereas SDN simplifies network configuration for network administration by separating the control layer from the data layer. Because there are so many electronic gadgets connected to the internet, managing and controlling them is difficult, especially given the vast scattered network. through the SDN, IoT networks may be flexible and programmable without posing problems for the already established network architecture. It has lately come to light that the IoT and SDN technologies are becoming more and more well-known. IoT's main goal is to link electronic gadgets to the internet, whereas SDN separates the control layer from the data layer to make network setup easier for network administration. It is challenging to manage and regulate all electronic devices linked to the internet, especially considering how widely dispersed the network is. IoT networks may be relatively programmable and adaptable using the SDN without creating issues for the already established network architecture. © 2023 IEEE.

关键词： internet of things

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distributed Edge AI Systems 16

Distributed Edge AI Systems

引用

16th IEEE/ACM international conference on Utility and Cloud computing (UCC) / 10th IEEE/ACM international conference on Big Data computing, Applications and technologies (BDCAT)

作者： Hu, Fei Mehta, Kunal Mishra, Shivakant AlMutawa, Mohammad Univ Colorado Boulder CO 80309 USA Kuwait Univ Khaldiya Kuwait

ISBN: (纸本)9798400702341

Edge computing has become a promising computing paradigm for building IoT (internet of things) applications, particularly applications with latency and privacy constraints. However, these applications typically tend to be compute-intensive and compute resources are limited at the edge when compared to the cloud, so it is important to efficiently utilize all computing resources available at the edge. A key challenge in utilizing these resources is the scheduling of different computing tasks in a dynamically varying, highly hybrid computing environment. We describe the design, implementation, and evaluation of a dynamic distributed scheduler for the edge that constantly monitors the current state of the computing infrastructure and dynamically schedules various computing tasks to ensure that all application constraints are met in another paper. Based on that, this paper mainly proposes a profile evaluation method and results when applying an augmented reality application on distributed systems at the edge. With that work done, we propose and implement a good solution to efficiently distribute edge AI applications at the edge.

关键词： Edge computing AI Applications distributed Systems Dynamic distributed Scheduler Containers

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Security Policy System for Cloud computing Education Big Data: Test based on DDos Large-Scale distributed Environment 5

Security Policy System for Cloud Computing Education Big Dat...

引用

5th international conference on Inventive Computation technologies (ICICT)

作者： Xing, Zhiyi Dalian Univ Technol City Inst Dalian 116600 Liaoning Peoples R China

ISBN: (数字)9781665408370

ISBN: (纸本)9781665408387;9781665408370

the big data platform based on cloud computing realizes the storage, analysis and processing of massive data, and provides users with more efficient, accurate and intelligent internet services. Combined with the characteristics of college teaching resource sharing platform based on cloud computing mode, the multi-faceted security defense strategy of the platform is studied from security management, security inspection and technical means. In the detection module, the optimization of the support vector machine is realized, the detection period is determined, the DDoS data traffic characteristics are extracted, and the source ID blacklist is established;the triggering of the defense mechanism in the defense module, the construction of the forwarder forwarding queue and the forwarder forwarding capability are realized. Reallocation.

关键词： Security Policy System Cloud computing Education DDos Large-Scale distributed Environment

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Flood Management System Using Cloud computing and internet-of-things 5

Flood Management System Using Cloud Computing and Internet-o...

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5th Biennial international conference on Nascent technologies in Engineering, ICNTE 2023

作者： Goyal, Himanshu Rai Sharma, Sachin Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9781665465045

the human-based disaster management programme has recently been a source of administrative and ethical concern. Sometimes it can be more harmful than beneficial. In order to take into account the newly developed internet of things organization, which is sufficiently evolved to create a network automatically connecting each other and forecasting every function and feature of the flood, there must be less interaction between humans and all such inventions. In this project, a wastewater disposal system is created and put into service to compensate for the losses brought on by urban flooding in metropolitan areas. For the criticality of the wastewater deposit network, the platform consists of real-Time cloud computing and internet-of-things (IoT) control. In order to meet the demand for incorporating waste water drainage systems in any urban area in order to avoid and stop floods, we designed this architecture, technology, mathematical model, and application. this constructed framework is illustrated through the case study of the Mumbai floods of 2005. If we use this approach, we can prevent more than 40% of the harm and live. © 2023 IEEE.

关键词： internet of things

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Mobile Learning technologies as drivers of School Enrolment Levels in South Africa: A Policy Simulation Experiment using Machine Learning-Driven Dynamic Autoregressive distributed Lag Model 37

Mobile Learning Technologies as drivers of School Enrolment ...

引用

37th international BCS Human-Computer Interaction conference, BCS HCI 2024

作者： Muazu, Fatima Ahmad Adedoyin, Festus Dogan, Huseyin Whittington, Paul Mavengere, Nicholas Dept. of Computing & Informatics Bournemouth University United Kingdom

this study addresses the imperative challenge of enhancing school enrolment in South Africa by investigating the dynamics of mobile learning technologies, internet access, and key socio-economic variables. Spanning 35 years (1998–2022), the research draws from the National Digital and Future Skills Strategy, aiming to provide insights into the factors influencing educational access. Employing an analytical framework that integrates Autoregressive distributed Lag (ARDL), dynamic ARDL (dynARDL) simulations, and Kernel-based Regularized Least Squares (KRLS) machine learning, the study finds that economic prosperity, as represented by real GDP per capita, positively influences secondary school enrolment. Mobile phone subscribers emerge as a significant driver, emphasizing the transformative potential of digital technologies. Surprisingly, an inverse relationship between internet users and enrolment prompts a reassessment of the role of internet access in education. the dynARDL simulations introduce counterfactual shocks, highlighting the positive impact of a 10% increase in mobile subscribers and the nuanced consequences of changes in internet users. KRLS analysis reinforces the significance of economic indicators, digital technologies, and human development in shaping enrolment. Drawing policy implications, the study advocates targeted investments in digital infrastructure, strategic approaches to internet access optimization, and policies fostering sustainable economic growth. © Muazu et al.

关键词： Adversarial machine learning

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distributed Data Sharing and Access Control in Industrial IoT Using Blockchain Technology 5

Distributed Data Sharing and Access Control in Industrial Io...

引用

5th international conference on Computer Engineering and Intelligent Control, ICCEIC 2024

作者： Li, Rui Sun, Yan Liu, Caiyun Wen, Ying Liu, Yitong Fujian Provincial Industrial and Information Industry Development Research Center Fujian Fuzhou China China Industrial Control Systems Cyber Emergency Reponse Team Beijing China

ISBN: (纸本)9798331507992

With the rapid development of the Industrial internet of things (IIoT), secure and efficient data sharing has become crucial for enabling industrial automation and smart transformation. However, existing centralized solutions face limitations in scalability, latency, and data privacy. To address these challenges, this paper proposes a blockchain-based distributed data-sharing and access control system tailored for resource-constrained industrial edge networks. the system adopts a three-layer architecture that integrates edge computing and blockchain technology to provide decentralized, low-latency data management. A novel smart contract framework is introduced to enforce multi-level access control and support fine-grained permissions for intra-domain and cross-domain data sharing. Experimental results show the system's improved performance in data access efficiency and throughput, offering a robust solution for real-time, secure IIoT applications. © 2024 IEEE.

关键词： Smart contract

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Industrial 5G Private Network Deterministic Technology Research and Verification 5

Industrial 5G Private Network Deterministic Technology Resea...

引用

5th international conference on Information Science, Parallel and distributed Systems, ISPDS 2024

作者： Zhu, Jinyu Han, Yufei Duan, Shihui Xu, Fangmin Pan, Xingchen Zhu, Youyang China Academy of Information and Communications Technology China Key Laboratory of Internet and Industrial Integration and Innovation of Miit Beijing China Beijing University of Posts and Telecommunications School of Information and Communication Engineering Beijing China

ISBN: (纸本)9798350352719

As the demand for industrial automation increases, the application of 5G technology in the industrial field is coming into focus. In particular, 5G's ultra-reliable low-latency communication (URLLC) and time-sensitive network (TSN) technologies are seen as the key to realizing efficient industrial communication. Despite the continuous progress in theoretical research and standardization, experimental data and application research in real environments are still relatively insufficient, which limits the verification of theoretical results for practical applications. In this paper, we present a detailed description of 5G deterministic communication technology in industrial environments, and design experiments to verify the effectiveness of 5G TSN gating function and its impact on service flow under different priority settings. this paper aims to fill the gap in existing research on experimental data. the experimental results show that the configuration of priority and gating significantly reduces the delay and packet loss rate, confirming the effectiveness and reliability of 5G TSN technology in real industrial applications. these findings further validate the critical role of 5G technologies in supporting Industry 4.0 and provide strong evidence for future industrial network design and optimization. © 2024 IEEE.

关键词： 5G mobile communication systems

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Cybersecurity for Cloud-Based IoT Devices: Views from IT Professionals 5

Cybersecurity for Cloud-Based IoT Devices: Views from IT Pro...

引用

5th international conference on Advanced Research in computing, ICARC 2025

作者： Aamina, A.W.S. Gunawardena, Lasith Arachchilage, Nalin University of Sri Jayewardenepura Dept. of Information Technology Sri Lanka Rmit University School of Computing Technologies Australia

ISBN: (纸本)9798331530983

the rapid adoption of cloud-based internet of things (IoT) devices in Sri Lanka has brought about significant cybersecurity challenges. these devices rely on cloud infrastructures for processing sensitive data, making them vulnerable to threats such as data breaches, unauthorized access, and denial-of-service (DoS) attacks. this study uses a qualitative approach, based on semi-structured interviews with eight IT professionals, to examine these challenges in the Sri Lankan context. Key findings reveal that limited resources, lack of expertise, and rapid technological advancements are critical barriers to effective IoT security. While global frameworks like the NIST Cybersecurity Framework provide valuable guidelines, their application must be tailored to local conditions, such as resource constraints and organizational capacities. To address these issues, the study emphasizes practical measures, including enhanced training programs, hands-on workshops, and regular vulnerability assessments, to strengthen cybersecurity in IoT ecosystems. Due to page limitations, detailed interview questions are made available in Zenodo resource. By aligning its recommendations with the National Cyber Security Strategy of Sri Lanka and addressing local socio-economic challenges, this study provides actionable insights for improving cybersecurity in cloud-based IoT environments. the findings contribute to both local policy enhancement and global discussions on IoT security in developing nations. © 2025 IEEE.

关键词： Cyber attacks

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Advanced Data Storage and Processing technologies in a Next-Generation Electric Information Acquisition System 5

Advanced Data Storage and Processing Technologies in a Next-...

引用

5th international conference on Advances in Electrical Engineering and Computer Applications, AEECA 2024

作者： Liao, Yangchun Wu, Haining Wen, Bingbing Ke, Hong Zhang, Chao Ye, Yuting Hubei Central China Technology Development of Electric Power Co. Ltd. Wuhan China

ISBN: (纸本)9798350355253

this study explores the data storage and processing technologies in a new generation electric information acquisition system, focusing on the design and implementation of distributed relational databases, distributed big data storage clusters, and caching databases. these technologies ensure the secure and reliable storage and efficient processing of large-scale data, meeting the demands of complex business applications. the distributed relational database, implemented with MySQL Cluster, provides high availability and data consistency, making it suitable for transactional data storage. the distributed big data storage cluster, based on NoSQL technology, offers linear scalability and fault tolerance, supporting extensive offline data analysis. the caching database, utilizing Redis, enhances the system's real-time interaction performance. this overall design provides robust technical support for the development of smart grids and the energy internet. © 2024 IEEE.

关键词： Data collection

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Enhancing IoT Efficiency: the Role of Fuzzy Logic in Smart Decision Making 5

Enhancing IoT Efficiency: The Role of Fuzzy Logic in Smart D...

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5th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2024

作者： Imamguluyev, Rahib Nabiyeva, Jamala Imanova, Tunzala Mikayilova, Rena Umarova, Niyar Abdullayev, Tarlan Baku Business University IT Department Baku Azerbaijan Azerbaijan State University of Economics Department of Digital Technologies and Applied Informatics Baku Azerbaijan Azerbaijan Academy of Labor and Social Relations 'General Disciplines' Department Baku Azerbaijan Odlar Yurdu University Scientific Affairs Baku Azerbaijan

ISBN: (纸本)9798350395235

the burgeoning landscape of the internet of things (IoT) has ushered in a paradigm shift, demanding smarter decision-making processes within interconnected systems. this article delves into the pivotal role of fuzzy logic in augmenting IoT efficiency by empowering devices with adaptive and nuanced decision-making capabilities. Fuzzy logic, renowned for its ability to navigate uncertainties and imprecise data, emerges as a beacon of intelligence within the IoT framework. through an exploration of case studies and theoretical frameworks, this article illuminates how the integration of fuzzy logic algorithms enables IoT devices to make contextually informed decisions, optimizing resource allocation, and enhancing overall system performance. the article underscores the significance of this synergy, illustrating how fuzzy logic contributes to the evolution of smarter, more responsive IoT ecosystems, poised to navigate the complexities of modern interconnected environments. © 2024 IEEE.

关键词： Decision making

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