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检索条件"任意字段=5th IEEE International Conference on Distributed Computing in Sensor Systems"

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Detecting distributed Denial of Service Attacks in Internet of things Networks Using Machine Learning in Fog computing 5

Detecting Distributed Denial of Service Attacks in Internet ...

引用

5th international conference on Engineering Technology and its Applications, IICETA 2022

作者： Hassan, Karrar Falih Manaa, Mehdi Ebady University of Babylon College of Information Technology Babylon Iraq

ISBN: (纸本)9781665472159

the number of Internet of things (IoT) devices and the data produced by these devices have increased dramatically in recent years. IoT networks have benefited from the arrival of 5G, which aims to link more devices quickly and reliably. However, many of these devices are unsecured, leaving the Internet open to assault. Since IoT devices are resource-restricted, attackers may simply mount a larger and more complex DDoS assault using IoT devices. Entropy-based detection is technique proposed by other researchers, and it has a high sensitivity and a good degree of reliability. In this paper, authors propose an entropy-based framework with the machine learning algorithms to optimize the detection result. the proposed system consists of three parts: the first part is to create a sliding time window to calculate the entropy, and the second is using the Euclidean distance to make early detection possible during the DDoS but not after the collapse. the third part is the use of machine learning algorithms (KNN and SVM), to improve the accuracy of the results in early detection. the results showed that the proposed system is able to increase the accuracy from 98.6% to 100%, and efficiently detect attacks in real-time for (ICMP, TCP, UDP, HTTP and DNS) DDoS attacks. © 2022 ieee.

关键词： Internet of things

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distributed Hash Table with Extensible Remote Procedure Calls 5

Distributed Hash Table with Extensible Remote Procedure Call...

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5th international conference on Computational Intelligence and Networks, CINE 2022

作者： Creutz, Lars Schneider, Jens Dartmann, Guido Institute for Software Systems Trier University of Applied Sciences Birkenfeld Germany

ISBN: (纸本)9781665464659

In this paper we present Grond, a Python implementation of a distributed hash table based on the Chord protocol that was used inside the cyber-physical contract framework Fides. We implemented several extensions and improvements over the original Chord specification. Some of these enhancements are specific for the use with Fides, but most are general enhancements to improve the stability and security of the framework. the implementation can be transferred to other domains due to its extensibility with custom remote procedure calls and is also useable on lightweight hardware, which we show in reproducable measurements. © 2022 ieee.

关键词： Python

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distributed Cross-Community Collaboration for the Cloud-Based Energy Management Service 5

Distributed Cross-Community Collaboration for the Cloud-Base...

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5th international conference on Smart Grid and Smart Cities, ICSGSC 2021

作者： Chen, Yu-Wen Chang, J. Morris Computer Systems Technology New York City College of Technology BrooklynNY United States Electrical Engineering University of South Florida TampaFL United States

ISBN: (纸本)9780738133157

Customers' participation is a critical factor for integrating the distributed energy resources via demand response and demand-side management programs, especially when customers become prosumers. Incentives need to be delivered by the energy management service to attract prosumers to operate their distributed energy resources and electricity loads grid-friendly actively. the cloud-based energy management service enables virtual trading for customers within the same community to minimize cost and smooth the fluctuation. With the potential fast-growing number of service providers and customers, the needs exist for efficiently collaborating across multiple service providers and customers. this paper proposes the distributed cross-community collaboration (XCC) for the cloud-based energy management service to enable collaboration across multiple communities and service providers. the XCC can efficiently handle large-scale variables and data with various allocated computing resources and is formulated as an alternating direction method of multipliers optimization problem. this paper also introduces a cross-community adjustment to avoid the overwhelmed exchanged data and computations among multiple communities under uncertainty. Performances are evaluated in experiments with the discussions. © 2021 ieee.

关键词： Smart power grids

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Current Trends in Machine Learning Algorithms and Application on Health sensor Data 5

Current Trends in Machine Learning Algorithms and Applicatio...

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5th international conference on IoT in Social, Mobile, Analytics and Cloud (I-SMAC)

作者： Suneetha, Avvaru R. V. Naga Arulmurugan, A. Vignans Fdn Sci Technol & Res Dept Comp Sci & Engn Guntur 522213 Andhra Pradesh India Vignan Inst Technol & Sci Dept Comp Sci & Engn Pochampally M 508284 Telangana India

ISBN: (纸本)9781665426428

this paper is focused with currently trending machine learning algorithms (deep learning, Hierarchical temporal memory) and their application in health sensor data. Also, it captures some of the challenges faced during application of machine learning algorithms and also focuses on some advantages and limitations in applying specific machine learning algorithms in health sensor data. Lastly, it covers focuses on sensor big data and machine learning integration.

关键词： Machine Learning Trending Machine Learning Algorithms Deep Learning Hierarchical Temporal Memory distributed Cloud computing Spark Health sensor Data Mobile Health

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Research and Implementation of Obtaining Monitoring Indicators for Redis Cluster in distributed systems

Research and Implementation of Obtaining Monitoring Indicato...

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Consumer Electronics and Computer Engineering (ICCECE), 2021 ieee international conference on

作者： Xiaohua Zhang HongFei Hu Yimei Xu School of Information Technology Xi'an Eurasia University Xi'an China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

this paper focuses on the research and implement of obtaining monitoring indicators for Redis cluster in distributed systems. With the rapid development of distributed systems, Redis cluster has become an essential component for handling large - scale data and high - concurrent access. By effectively monitoring Redis cluster, we can ensure its stable operation, optimize performance, and quickly detect and solve potential problems. this paper first analyzes the architecture and working principle of Redis cluster, then elaborates on the key monitoring indicators and their significance. Next, it presents a comprehensive acquisition scheme, including data collection, transmission, and storage methods based on the prometheus. Finally, through experimental verification, the effectiveness and feasibility of the proposed scheme are demonstrated.

关键词： Measurement Accuracy distributed databases Computer architecture Data collection Problem-solving Monitoring Consumer electronics

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Edge-computing Enabled Si Photonics Multimodal sensor with Integrated Photonic Convolutional Processor

Edge-Computing Enabled Si Photonics Multimodal Sensor with I...

引用

ieee international conference on Micro Electro Mechanical systems

作者： Zian Xiao Zhihao Ren Yangyang Zhuge Zixuan Zhang Jingkai Zhou Siyu Xu Cheng Xu Bowei Dong Chengkuo Lee Department of Electrical & Computer Engineering National University of Singapore Singapore NUS Suzhou Research Institute (NUSRI) Singapore Institute of Microelectronics (IME) Agency for Science Technology and Research Singapore National Centre for Advanced Integrated Photonics Singapore

ISBN: (数字)9798331508890

ISBN: (纸本)9798331508906

Photonic integrated circuits provide compact and efficient solutions for multimodal spectroscopic sensors. However, the resulting sensory data is highly complex and contains significant redundancy. To circumvent high communication cost for redundancy, the photonic sensor and processor are brought into intimacy and propose a photonic multimodal edge computing system. A microring resonator crossbar is used as photonic processor with 5-bit accuracy. the in-situ processing of sensory data is demonstrated in this system, achieving a classification accuracy of 94.27% across 45 different classes. the multimodal edge computing system demonstrates the feasibility of integrating photonic processors and photonic sensors to enhance the photonic data processing capability.

关键词： Temperature sensors Accuracy Multimodal sensors Redundancy sensor systems Silicon Temperature control Optoelectronic and photonic sensors Photonics Edge computing

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A Column Sparse Controller Design for distributed Networked Control systems 8th

A Column Sparse Controller Design for Distributed Networked...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent computing for Sustainable Energy and Environment, ICSEE 2024

作者： Guan, Yanpeng Yin, Hongjie Sun, Chao Yao, Qingsheng Shanxi University Taiyuan030013 China Kunming Shipborne Equipment Research and Test Center Kunming650216 China

ISBN: (纸本)9789819602933

this paper presents a distributed structured controller design method in the case of finite number of subsystems with sensor failures. the constraint on the number of sensor failures is represented by a cardinality constraint on the controller gain matrix. A mixed integer programming method is employed to deal with this type of column cardinality constraint. By using the Lyapunov functional method, we present a sufficient condition that guarantees the H∞ asymptotic stability of the closed-loop system. And a column sparse controller design method is presented in the form of linear matrix inequalities. Finally, a numerical example is provided to illustrate the effectiveness of the developed approach. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Lyapunov functions

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A distributed Software Agent-Oriented Traceability Milieu for Blockchain-Enabled Supply Chain 5

A Distributed Software Agent-Oriented Traceability Milieu fo...

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5th international conference on Computational Intelligence and Networks, CINE 2022

作者： Swain, Satyananda Patra, Manas Ranjan Berhampur University Department of Computer Science Odisha Berhampur India

ISBN: (纸本)9781665464659

Supply chain is a potential area that can immensely benefit from blockchain technology (BCT), making supply chain operations more reliable, safer, traceable, and trustworthy for all its stakeholders. However, there are numerous challenges such as scalability, coordination, safety, and traceability-related issues which are yet to be resolved. Multi-agent systems (MAS) offer a completely new dimension for sustainability and operational traceability in distributed culture. MAS consists of an assembly of automated agents which can be deployed to track operational states both internally and externally in a distributed system. In this work, an effort has been made to develop a comprehensive traceability framework consisting of multiple agents for a large-scale product manufacturing supply chain enabled by blockchain technology. the agents are designed to monitor and drive the supply chain workflow to ensure traceability of the system. this framework can eliminate the limitations of the existing supply chains concerning traceability. © 2022 ieee.

关键词： Supply chain management

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Comparative Analysis of IoT Communication Technologies for Monitoring Agricultural Areas in the Provinces of Cotopaxi and Tungurahua - Ecuador 5

Comparative Analysis of IoT Communication Technologies for M...

引用

5th international conference on Information and Computer Technologies, ICICT 2022

作者： Ramirez-Mosquera, Alexis Ruales-Galarza, Christian Acosta-Buenano, Freddy Rivas-Lalaleo, David Universidad de Las Fuerzas Armadas Espe Departamento de Eléctrica y Electrónica Av General Rumiñahui s/n Sangolquí Ecuador

ISBN: (纸本)9781665469609

the development of agriculture is based on the improvement of living standards, at the national level in the provinces of Cotopaxi and Tungurahua represents a topic of special interest, currently the agricultural sector is impacted by climate change, temperature and humidity variation, and soil alteration. this is why the Internet of things with the integration of wireless communication technologies and sensors offer the possibility of generating technological systems that collect data from crop fields. the present study was based on the comparative analysis of wireless communication technologies for IoT in the monitoring of agricultural areas, compiling studies of scientific databases identifying global, American continent and local trends. the communication technologies were evaluated with their characteristics based on the Hierarchical Analysis Process method, obtaining Sigfox, LoRa and Zigbee as the main alternatives for radio coverage simulations. Subsequently, the radiation pattern of the technologies was obtained, selecting Sigfox for its characteristics and performance as the technology to be implemented for the network and sensor node operation. It was concluded that Sigfox is suitable for monitoring agricultural crops due to its wide coverage range, economic cost and low data sending rate, being a communication alternative for early warning of frost detection. © 2022 ieee.

关键词： sensor nodes

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Energy-Efficient spatial modulation in wireless sensor networks

Energy-Efficient spatial modulation in wireless sensor netwo...

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2022 international conference on Communication, computing and Internet of things, IC3IoT 2022

作者： Kanthimathi, M. Surya, S. Usha, S. Vaithiyanathan, D. Sri Sairam Engineering College Department of Ece Chennai India National Institute of Technology Department of Electronics and Communication Delhi India

ISBN: (纸本)9781665479950

Spatial modulation (SM) is a promising technique for 5G systems as it guarantees good data rate at reduced complexity. Increased data rate and increased energy efficiency is possible with spatial modulation due to the fact that information is transmitted in the indices of the transmit antenna and also on the constellation symbol. Cooperative Multiple-Input-Multiple-Output (MIMO) technique based on spatial modulation is proposed to reduce the interchannel interference and synchronization problems among transmit nodes and achieve high multiplexing gain in Wireless sensor Networks (WSNs). A cooperative MIMO framework is formed by considering spatially distributed nodes each with a single antenna employing spatial modulation for improving the energy efficiency of WSN. In the proposed technique the theoretical Pairwise error probability (PEP) is derived from the minimum Euclidean distance between the transmitted symbols. the Bit error rate (BER) performance and energy consumption per bit of the proposed technique is presented and compared with the performance of Spatial Modulation (SM)technique. © 2022 ieee.

关键词： Bit error rate

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