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

共 8754 条记录，以下是41-50 订阅

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Research on Data Mining technology of internet Privacy Protection Based on Local Differential Privacy 6

Research on Data Mining Technology of Internet Privacy Prote...

引用

6th international conference on Communications, Information System and Computer Engineering, CISCE 2024

作者： Yu, Juan School of Computer and Information Engineering Maanshan Teacher's College Maanshan China

ISBN: (纸本)9798350353174

With the rapid development of social economy and science and technology, data sharing and analysis technology is one of the contents widely used in the internet field. Collecting and distributing terminal data and mining analysis is the normal form of big data analysis. Under the condition of mutual distrust between the collector and the terminal data owner, privacy protection in data collection and analysis will directly affect the application results of big data analysis. Nowadays, localized differential privacy has been applied in data acquisition and data mining analysis. Although there are still many problems in relevant theories and technologies, with the continuous in-depth research of scientific researchers, relevant issues have been proposed according to practical cases, which not only effectively control the privacy budget loss, but also improve the accuracy of data application. therefore, on the basis of understanding the concept of localized differential privacy and related models, and according to the current application status of internet privacy protection data mining technology, this paper proposes a clustering method with LDP GMMC as the core. the final experimental results show that the improved data acquisition method can better meet the privacy protection requirements in the non-spherically distributed data scenario. © 2024 IEEE.

关键词： Data collection

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Mitigating VM Sprawl: Strategies for Effective Resource Management in Cloud Environments 6

Mitigating VM Sprawl: Strategies for Effective Resource Mana...

引用

6th international conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2024

作者： Swathi, T. Swathi, B. Sunanda, P. G. Pulla Reddy Engineering College Department of Cse Andhra Pradesh Kurnool518007 India

ISBN: (纸本)9798331505790

the technology of the cloud is rapidly developing, and it is unquestionably the next big thing that people will use wherever, at any time. the use of clouds is becoming more and more popular in today's internet-driven world because it provides all the necessary gear, software, apps, processing capacity, and business processes to manage collaboration. In recent years, virtualized clouds have revolutionized IT. Despite its widespread acceptance, there are certain issues that are raising doubts. this paper explores issues related to VMSprawl. © 2024 IEEE.

关键词： Cloud computing resource management virtualizaion

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Configuring the Parallel Committees Database Architecture through Bayesian Optimization 6

Configuring the Parallel Committees Database Architecture th...

引用

6th international conference on Blockchain computing and Applications, BCCA 2024

作者： Solat, Siamak Mabrouk, Ahmed Paris France CSAI Lab CRIGEN ENGIE Group Stains France

ISBN: (纸本)9798350351538

distributed databases are often used when scalability, fault tolerance, and high availability are crucial. they excel in scenarios where traditional, centralized databases may struggle to handle the increasing volume of data or traffic. Common use cases include large-scale web applications, cloud computing environments, and systems requiring geographic distribution for improved performance and resilience. the "Parallel Committees" architecture was recently proposed, designed, and published in [1] as an innovative and novel approach for distributed databases. the configuration of the Parallel Committees architecture must be precisely tailored based on a set of input parameters. In this paper, we propose an approach to configure the Parallel Committees database architecture through Bayesian optimization, aiming to identify the optimal parameter configuration for each specific use case. © 2024 IEEE.

关键词： Cloud computing architecture

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Design and Implementation of Centralized Timesensitive Network Controller Cluster System 6

Design and Implementation of Centralized Timesensitive Netwo...

引用

6th international conference on Electronics and Communication, Network and Computer technology, ECNCT 2024

作者： Zhao, Xuyang Zhu, Jun Yang, Wenjiao Lu, Donghui Zhejiang Lab Research Center for Intelligent Manufacturing Computing Hangzhou China

ISBN: (纸本)9798350366143

With the development of the new generation of information network technology and the massive data integration generated by the internet of Everything, the management planning of data is becoming more and more reasonable. the data management plane is configured and issued to the data service plane, which can meet the data transmission requirements of different application scenarios. Most network configurations need to be performed during network downtime or when the device is offline, which makes it difficult to meet the requirements for application scenarios such as industrial control. Time- sensitive network (TSN) introduces centralized network configuration (CNC) and centralized user configuration (CUC) through IEEE 802.1Qcc to realize the dynamic configuration of the network and flexibly configure new devices and data flows when the network is running. this paper designs a centralized time-sensitive network controller cluster system to configure the resources of the data service plane of time-sensitive network devices, optimize the resource utilization of the network, and realize flexible networking of the network;based on the distributed cluster technology characteristics of the ONOS open source controller, the network controller is designed and deployed with high reliability, and the controller fault tolerance and elasticity mechanism are realized to solve the reliability problem caused by the single point failure of the TSN network controller. © 2024 IEEE.

关键词： Information management

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Joint Optimization of Task Offloading and Resource Allocation in Heterogeneous Edge Networks 6

Joint Optimization of Task Offloading and Resource Allocatio...

引用

6th international conference on Data-Driven Optimization of Complex Systems (DOCS)

作者： Mei, Zhixin Du, Hebing He, Pan Dong, Aofei Feng, Kuiyuan Xu, Jinkun Chongqing Normal Univ Chongqing Peoples R China

ISBN: (纸本)9798350377859;9798350377842

With the development of intelligent transportation systems (ITS), powerful vehicular applications are gaining popularity, which brings significant challenges to resource-constrained vehicles. the emergence of edge computing empowers vehicles to offload computation tasks to edge devices in the internet of vehicles (IoV), thereby alleviating the problem of constrained computing resources in vehicles. In this paper, we investigate the task offloading and resource allocation in heterogeneous edge networks (HENets). the problem of the task offloading and resource allocation is formulated to minimize the system total cost composed of the service delay and energy consumption. To address this problem, we propose a particle swarm optimization (PSO) based task offloading and resource allocation (PTORA) algorithm. Simulation results demonstrate that our proposed algorithm has better performance.

关键词： Edge computing Task offloading Resource allocation Particle swarm optimization

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DisPOSE: Demonstrating Opportunistic Multi-tenant Fog Orchestration 26

DisPOSE: Demonstrating Opportunistic Multi-tenant Fog Orches...

引用

26th conference on Innovation in Clouds, internet and Networks and Workshops (ICIN) - distributed Intelligence across Network and Edge-to-Cloud Continuum

作者： Verdot, Vincent Peloso, Pierre Boussard, Mathieu Douville, Richard Varloot, Remi Nokia Bell Labs Nokia Networks France Nozay France

ISBN: (纸本)9798350398045

this demonstration illustrates our vision of open, collaborative fog computing environments where owners are ready to provide their information and communications technology resources to opportunistic service requesters. the proof-of-concept implementation of our architecture for supporting such "distributed Personal OS Environments" is demonstrated through a shared factory floor use case, illustrating DisPOSE's three-tier orchestration approach.

关键词： fog computing decentralized orchestration Software Defined Networking (SDN) internet of things 6G

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Design and Realization of Electrical Power Management System Based on Secure Transport 24

Design and Realization of Electrical Power Management System...

引用

6th international conference on Telecommunications and Communication Engineering

作者： Lin, Jie Qin, JingTao Sichuan Railway Coll Chengdu Sichuan Peoples R China Chengdu Univ Informat Technol Coll Commun Engn Chengdu Sichuan Peoples R China

ISBN: (纸本)9798400709630

with the development of science and technology, new application scenarios have new demands for power distribution management system. the purpose of the research is to use the internet of'Ihings technology and cloud computing technology to achieve distribution information collection and remote distribution management, real-time monitoring of the power system, and reasonable distribution of power resources. through the analysis and research of the overall system design, key technology realization, practical testing and other aspects, the power distribution management service is provided in the technology-driven mode, which solves the security problems in the data transmission process and realizes the "matter cloud" power distribution management system based on security transmission. the actual test results of the power distribution management system show that each component can run normally, complete the core functions of the power distribution management system, and remotely view and manage the power distribution device information. the distribution management system is feasible and practical, effectively reduces the labor cost, and has certain extensibility.

关键词： Distribution management system Data transmission security Remote loT Cloud computing

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Machine Learning Based Detection System for Identifying Deepfake Images and Social Bots 6

Machine Learning Based Detection System for Identifying Deep...

引用

6th international conference on Advancements in computing, ICAC 2024

作者： Liyanage, Chamath Dematgoda, Hirushini Harindi, Dewmini Perera, Nirmal Fernando, Harinda Rathnayake, Samadhi Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798331517878

this paper presents a machine learning-based approach to detect two major forms of misinformation on social media platforms: deepfake images and social bots. For deepfake image detection, we propose a novel hybrid model combining DenseNet121 with custom Convolutional Neural Networks, achieving 97% accuracy on a dataset of 140,000 images. the social bot detection component utilizes a dual-branch architecture, processing tweet content through LSTM networks and user metadata through dense layers, attaining 91 % accuracy on the CIC truth seeker dataset. Both models demonstrate balanced performance across classes, addressing the challenges of evolving misinformation tactics. By integrating these detection systems, we aim to enhance the integrity and reliability of information ecosystems in digital spaces. Our approach contributes to the ongoing efforts to combat the spread of misinformation on social media platforms. © 2024 IEEE.

关键词： Bot (internet)

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Blockchain-Enhanced Federated Learning for internet of Vehicles 6

Blockchain-Enhanced Federated Learning for Internet of Vehic...

引用

6th international conference on Blockchain computing and Applications, BCCA 2024

作者： Asad, Muhammad Otoum, Safa College of Technological Innovation Zayed University Abu Dhabi United Arab Emirates

ISBN: (纸本)9798350351538

the integration of the internet of Vehicles (IoV) into urban environments introduces significant data security and network efficiency challenges. As vehicular networks expand, their susceptibility to cyber-attacks increases, demanding effective security solutions. this paper proposes a novel framework by integrating blockchain technology with federated learning (FL) to secure and enhance the efficiency of IoV systems. In this context, we propose a Blockchain-Enhanced FL for internet of Vehicles (BEFL-IoV) framework designed to optimize communication efficiency and protect data privacy within IoV networks. Our approach distributes data processing tasks across vehicles, reducing latency and network congestion while ensuring high data privacy and integrity. Blockchain provides a decentralized, tamper-resistant layer for secure transactions and data exchanges between vehicles and infrastructure. Simulation results confirm the framework’s efficacy in maintaining high data accuracy under various cyber threats. Specifically, the model achieves 0.94% accuracy against property inference attacks and 0.92% accuracy against membership inference attacks. this integration of blockchain and FL significantly improves the scalability and reliability of IoV applications, marking a major advancement in smart transportation technologies. © 2024 IEEE.

关键词： Cyber attacks

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Machine Learning and Browser Fingerprinting Based Approach for Web Bot Detection 6

Machine Learning and Browser Fingerprinting Based Approach f...

引用

6th international conference on Advancements in computing, ICAC 2024

作者： Pathirage, Gihan Saminda Manathunga, Kalpani Sri Lanka Institute of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Software Engineering Malabe Sri Lanka

ISBN: (纸本)9798331517878

Web bots are becoming increasingly sophisticated, posing a serious threat to internet security and integrity. In response to this growing issue, this study proposes a novel bot detection method based on browser fingerprinting and machine learning. the proposed method is a model that was trained on browser fingerprints collected from web traffic using a custom script with a browser fingerprinting library. the traffic was classified as legitimate or malicious based on firewall rules and honeypots. this model seeks to enhance bot detection accuracy while decreasing false positives, filling a gap in the existing research on browser fingerprint-based bot detection. the experimental results demonstrate that detailed browser fingerprint data can serve as an effective indicator for distinguishing between human and automated traffic, providing a foundation for integrating browser fingerprinting into wider security measures. the study also analyzes the specific attributes on browser fingerprints that contribute most significantly to differentiating between legitimate and bot traffic, while acknowledging the limitations in the proposed method. © 2024 IEEE.

关键词： Bot (internet)

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