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20th IEEE international Conference on Mobile Ad Hoc and Smart systems, MASS 2023

作者： Zormati, Mohamed Ali Lakhlef, Hicham Heudiasyc Umr 7253 Université de Technologie de Compiègne Compiègne France

ISBN: (纸本)9798350324334

The Internet of Things (IoT) is becoming a part of everyday life through its various sensing devices that collect valuable information. The huge number of interconnected heterogeneous IoT devices poses immense challenges, and network softwarization techniques are an adequate solution to these concerns. Software Defined Networking (SDN) and Network Function Virtualization (NFV) are two key softwarization techniques that enable the realization of efficient, agile IoT networks, especially when combined with Machine Learning (ML), mainly Federated Learning (FL). Unfortunately, existing solutions do not take advantage of such a combination to strengthen IoT networks in terms of efficiency and scalability. In this paper, we propose a novel architecture to achieve distributed intelligent network softwarization for IoT, in which SDN, NFV, and ML combine forces to enhance IoT constrained networks. © 2023 IEEE.

关键词： Internet of things

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Design and Application of WEB based Blended Teaching System using Optimized ResNet50

Design and Application of WEB based Blended Teaching System ...

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2024 international Conference on distributed systems, computer networks and Cybersecurity, ICDSCNC 2024

作者： Liu, Lina Changchun Humanities and Sciences College Department of Public Computer Education and Research Changchun China

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375442

The Blended teaching system is a learning method that mixes the online classes with traditional offline classroom methods. Web-based blended teaching system influences web technologies for create a blended learning environment. The web-based blended teaching system is effective in training centers, higher studies institutions and it helps to study the students in their own place and reduces the need for infrastructure and materials. The blended teaching system is affecting the staffs in institution because of rules and policies of institutions. The paper proposed an optimized ResNet50 with effective hyperparameter optimizations of Random Opposition Learning Strategy and Greedy Selection based Flamingo Search Algorithm namely ResNet50-RGFSA. The proposed ResNet50-RGFSA used to predict the student's academic performance via web-based blending teaching system. ResNet50 utilized to determine the academic performance of student and RGFSA is used to identify optimum hyperparameters. The ResNet50-RGFSA is used for effective prediction of academic performance in a WEB based blended learning. The experimental results show that comparison between the Root Mean Squared Error (RMSE), Mean Squared Error (MSE), Mean Absolute Error (MAE) and R2 of 0.196, 0.178, 0.145 and 0.165 for ResNet50-RGFSA compared with existing model like FSA. © 2024 IEEE.

关键词： Mean square error

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A verifiable data integrity scheme for distributed data sharing in fog computing architecture

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FUTURE GENERATION computer systems-THE international JOURNAL OF ESCIENCE 2024年 150卷 64-77页

作者： Sellami, Youssef Imine, Youcef Gallais, Antoine Univ Polytech Hauts de France LAMIH UMR CNRS 8201 Valenciennes France

Fog computing is a promising computing paradigm that brings computing resources close to end users at the edge of the network. Hence, it handles large-scale, geographically distributed, and latencysensitive services. However, there are several security challenges that must be addressed due to the unreliable nature of this architecture. One can cite the verification of data integrity among the most critical issues in the context of fog computing. In fact, since data is often stored dynamically in a fully distributed manner, traditional solutions based on a centralized third-party auditor for integrity verification become unsuitable for such highly dynamic and distributed contexts. Indeed, the constant transfer of data to and from the central auditor results in high network latency and potential ***, in this paper, we propose a new efficient public verification protocol that ensures the integrity of the data in fog computing architecture. Our solution protects data integrity and authenticity using the short integer solution problem (SIS) and identity-based signatures. Moreover, in order to legitimately modify the data, our protocol allows to distributively identify the data owners and to delegate their signatures to other entities in the architecture. Furthermore, it enables effective data integrity verification even when data is separately shared across several servers. This verification can be performed by any legitimate end user connected to the architecture, and without relying on any trusted third party. Finally, we prove that our protocol is highly efficient and outperforms existing solutions, as demonstrated by our extensive simulations and thorough security analysis that confirmed its security.

关键词： Data integrity Fog computing Security Lattice -based cryptography distributed networks Identity based signatures

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FERI: Feature Enhancement and Relational Interaction for Image-text Matching 30

FERI: Feature Enhancement and Relational Interaction for Ima...

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30th IEEE international Conference on Parallel and distributed systems, ICPADS 2024

作者： Zhang, Yu Zhang, Jianqiang Song, Gongpeng Lu, Qin Zhao, Shuo Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China Shandong Branch of China Mobile Communication Group Design Institute Co. Jinan China

ISBN: (纸本)9798331515966

Image-text matching is an important problem at the intersection of computer vision and natural language processing. It aims to establish the semantic link between image and text to achieve high-quality semantic alignment between the two modalities. However, the existing methods have the problem that the meaning expressed in the image or the complex narrative in the text cannot be fully understood due to insufficient feature extraction. Moreover, due to the essential modal differences between images and texts, how to effectively and accurately align the semantic contents in images and texts has become the key of research. In order to solve the above problems, this paper proposes a method based on feature enhancement and relationship interaction. When processing images, the proposed method fuses labeled features, region features and location features to represent images. When processing text, a combination of Bi-GRU and self-attention mechanism is used to represent the text. In order to further align the semantic content in images and texts accurately, this paper improves two relational interaction mechanisms by identifying connection relationships and learning association relationships. Thus, the relation enhanced embedding is obtained. Finally, it calculated the similarity of the enhanced embedding to judge the matching degree of the image and text. Extensive experiments on the public datasets Flickr30K and MSCOCO demonstrate the effectiveness of our method. © 2024 IEEE.

关键词： cross-modal retrieval feature enhancement image-text matching relationship interaction

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Research on the Application of SPN in Power Comm unication Network 3

Research on the Application of SPN in Power Comm unication N...

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3rd international symposium on computer Technology and Information Science, ISCTIS 2023

作者： Yao, Hao Liang, Demin Liang, Zhensheng Li, Xiao Guangzhou Electric Power Design Institute Guangzhou China

ISBN: (纸本)9798350325386

Energy revolution and digital revolution are jointly promoting the transformation and upgrading of traditional power grid to digital power grid. The digital power grid is facing the demand for two-way transmission of widely distributed, large connections and massive data, which poses a great challenge to the power communication infrastructure. SPN is new generation of end-to-end hierarchical switching network technology system, which based on multilayer convergence, which is able to carry out comprehensive bearing of high-quality private line services and realize comprehensive service transmission with large bandwidth, low latency and high efficiency, and has good applicability to power communication networks. From the technical architecture and key technologies of SPN, combined with the existing architecture and business characteristics of power communication network, this paper puts forward the scheme of applying SPN network in power industry from two aspects of service bearing and networking mode. © 2023 IEEE.

关键词： Packet networks

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Automated Fire Hydrant Monitoring and Maintenance using IoT Data Analytics and Naive Bayes Classifier

Automated Fire Hydrant Monitoring and Maintenance using IoT ...

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2024 international Conference on distributed systems, computer networks and Cybersecurity, ICDSCNC 2024

作者： Sarasu, R. Nandagopal, V. Shibu, N.V. Lakshminarayanan, Suresh Raj, T Saju Rajmohan, M. Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Spatial Informatics Chennai India Mohan Babu University School of Engineering Department of Electrical and Electronics Engineering Tirupathi India Srm Institute of Science and Technology School of Computing Department of Computing Technologies Kattankulathur Chennai India University of Technology and Applied Sciences Department of Engineering & Electronics South Al Batina Oman Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Hindustan Institute of Technology and Science Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350375442

This paper introduces a new method for managing fire hydrants that uses a monitoring system based on the Internet of Things (IoT) and a Naive Bayes Classifier (NBC) for predictive maintenance. Water pressure, flow rate, and the physical state of fire hydrants are among the essential factors for the proposed system continually collecting data using an IoT sensor network. The system analyzes real-time data using NBC. These predictive capabilities reduce the potential of hydrant breakdowns during emergencies through preventive maintenance potential. It introduces a reliable IoT infrastructure for fire hydrant monitoring, improving the acquired data's granularity and timeliness. NBC provides a powerful instrument for early problem detection, significantly improving maintenance effectiveness. Since the technology is compatible with existing fire department procedures, it can easily integrate into current operational processes. Better public safety, more efficient use of resources, and more dependable fire hydrants are potential outcomes of responsive and proactive data-driven maintenance techniques. The findings improve overall fire safety and operational efficiency, with a 25% decrease in maintenance expenditures and a 40% increase in issue detection accuracy. © 2024 IEEE.

关键词： Predictive maintenance

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Chopin: Combining distributed and Centralized Schedulers for Self-Adjusting Datacenter networks 26

Chopin: Combining Distributed and Centralized Schedulers for...

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26th international Conference on Principles of distributed systems, OPODIS 2022

作者： Rozen-Schiff, Neta Foerster, Klaus-Tycho Schmid, Stefan Hay, David School of Computer Science and Engineering The Hebrew University of Jerusalem Israel Computer Science Department TU Dortmund Germany TU Berlin Germany Faculty of Computer Science Universität Wien Austria

ISBN: (纸本)9783959772655

The performance of distributed and data-centric applications often critically depends on the interconnecting network. Emerging reconfigurable datacenter networks (RDCNs) are a particularly innovative approach to improve datacenter throughput. Relying on a dynamic optical topology which can be adjusted towards the workload in a demand-aware manner, RDCNs allow to exploit temporal and spatial locality in the communication pattern, and to provide topological shortcuts for frequently communicating racks. The key challenge, however, concerns how to realize demand-awareness in RDCNs in a scalable fashion. This paper presents and evaluates Chopin, a hybrid scheduler for self-adjusting networks that provides demand-awareness at low overhead, by combining centralized and distributed approaches. Chopin allocates optical circuits to elephant flows, through its slower centralized scheduler, utilizing global information. Chopin’s distributed scheduler is orders of magnitude faster and can swiftly react to changes in the traffic and adjust the optical circuits accordingly, by using only local information and running at each rack separately. © Neta Rozen-Schiff, Klaus-Tycho Foerster, Stefan Schmid, and David Hay.

关键词： Topology

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Bridging separate communities with common interest in distributed social networks through the use of social objects

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FUTURE GENERATION computer systems-THE international JOURNAL OF ESCIENCE 2022年 129卷 440-452页

作者： Garompolo, D. Molinaro, A. Iera, A. Univ Mediterranea Reggio Calabria Dept DIIES Reggio Di Calabria Italy Univ Calabria Dept DIMES Arcavacata Di Rende CS Italy

In light of the growing number of user privacy violations in centralized social networks, the need to define effective platforms for decentralized online social networks (DOSNs) is deeply felt. Interesting solutions have been proposed in the past, which own the necessary mechanisms to allow users keeping control over their personal information and setting the rules to regulate the access of other users. Unfortunately, the effectiveness of this type of solutions is severely reduced by the fact that different user communities with a shared interest could be disconnected/separated from each other. This translates into a reduced ability in effectively spreading data of common interest towards all interested users, as it currently happens in centralized social networks. In order to overcome the cited limitation, this paper proposes a disruptive approach, which exploits the availability of a new class of Internet of Things (IoT) devices with autonomous social behaviors and cognitive abilities. Such devices can be leveraged as friendship intermediaries between devices' owners who are connected to a DOSN platform and share the same interest. We will demonstrate that clear advantages can be achieved in terms of increased percentage of Interested Reachable Nodes (a specific measure of Delivery Ratio) in distributed social networks among humans, when enhanced with so called Mediator Objects adhering to the well-known social IoT (SIoT) paradigm. (c) 2021 Elsevier B.V. All rights reserved.

关键词： Social Internet of Things distributed social networks Social mediator objects Content diffusion

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Secure and Efficient Data Transmission for IoT Devices in Untrusted Environments

Secure and Efficient Data Transmission for IoT Devices in Un...

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2024 international Conference on distributed systems, computer networks and Cybersecurity, ICDSCNC 2024

作者： Jain, Upma Smitha, K. Battula, R.S.S. Raju Sarkar, Arindam Martin, Natasha Natrayan, L. Graphic Era Deemed to Be University Department of Computer Science & Engineering Dehradun India Adichunchanagiri University Bgs Institute of Technology Department of Artificial Intelligence and Machine Learning India Aditya University Department of Computer Applications India Heritage Institute of Technology Department of Applied Electronics and Instrumentation Engineering Kolkata India Department of Law Symbiosis Law Pune India School of Engineering Simats Department of Mechanical Engineering Saveetha India

ISBN: (纸本)9798350375442

One technological trend that will not go away in the modern world is the Internet of Things (IoT). With the development of the Internet of Things, the world is becoming smarter. The efficacy, flexibility, and simplicity of deployment of IoT make it the preferred choice for most real-time applications. But energy efficiency and security are the big obstacles for the Internet of Things. Presented here are safe, energy-efficient solutions for the Internet of Things (IoT), a problem whose significance this study acknowledges. Since routing is the primary energy consumer, this study presents secure routing strategies that are both energy efficient and reliable. Three distinct safe data transmission techniques for the Internet of Things (IoT) are presented in this paper, all of which aim to reduce energy usage during routing. The first part of this study lays out a clustering-and secure route selection-based architecture for safe and energy-efficient data transmission with the Internet of Things (IoT). The W-HHO technique, which is based on Whale Optimization, is used to identify the secure routes, and fuzzy-based secure clustering is used for that purpose. Encryption protocols that work in tandem with cypher block chaining ensure the safety of sensitive information. Using industry-standard metrics like packet delivery rate, throughput, energy efficiency, network longevity, etc., we assess how well each solution performs. When compared to the current methods, the outcomes produced by the presented works demonstrate promising performance. © 2024 IEEE.

关键词： clustering data transmission energy efficiency fuzzy clustering harris hawks optimization (HHO) internet of things (IoT) secure routing security whale optimization algorithm

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international Conference on Applied Innovations in IT, ICAIIT 2024

International Conference on Applied Innovations in IT, ICAII...

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international Conference on Applied Innovations in IT, ICAIIT 2024

ISBN: (纸本)9783031892950

The proceedings contain 37 papers. The special focus in this conference is on Applied Innovations in IT. The topics include: Use of Heterogeneous Special Purpose Telecommunication networks for Provision of Convergent Services;methodology for Choosing the Best Network Topology for the Multiple Objects Network;turing Machine Development for High Protected Remote Control of the IoT Mobile Platform;distributed Multi-agent systems Based on the Mixture of Experts Architecture in the Context of 6G Wireless Technologies;technological Principles for Building a Network Architecture of Service Data Processing Centers;Comparison of Performance and Power Consumption in Sigfox, NB-IoT, and LTE-M;approach to Effective Query Execution;possible Features of Designing Telemedicine networks and Telemedicine Stations;applying Adaptive Learning Techniques for Studying of Installation Process an Operating System on a Personal computer;determination the Conversion Power of the Most Popular Switching Converters for computer systems;achieving Cyber-Physical Consistency for Immersive Robot Controlling;quantifying the Economic Impact of Investment Activities: Methods and Applications;analysis of Modern Solutions for the Identification of Anonymous Users;ontology-Driven Approach to the Structuring of Information Resources Describing a Subject Domain;a Comprehensive Integration of Practical Strategies in DevOps;methods of Spline Functions in Information Technologies;adaptive Clustering for Distribution Parameter Estimation in Technical Diagnostics;semi-Autonomous Object Retrieval with Robot Arm and Depth Camera for Quadruped Robots;power-to-X Strategies: A Key Driver for Decarbonization and Renewable Energy Integration in Economies;Estimation of the Repeater Span Length of OTH Transmission System with QAM Modulation;automated 3D Sign Language Animation Using Machine Learning Algorithms.

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