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

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IoT Based Heart attack Detection and Heart Rate Monitoring System 6

IoT Based Heart attack Detection and Heart Rate Monitoring S...

引用

6th international conference on Advanced computing and Communication Technologies for High Performance Applications (ACCthPA)

作者： Prasath, Arun Arif, Mohamed Srinivasan, S. Muthumanojkumar, A. Sushmitha, M. Sankaran, Sakthivel Kalasalingam Acad Res & Educ Dept Biomed Engn Krishnankoil India Saveetha Engn Coll Chennai India SRM Inst Sci & Technol Dept Biomed Engn Chennai India

ISBN: (纸本)9798350398441

these these days, heart attacks-which can occur when the heart's blood flow is interrupted-are killing a lot of people. this internet-of-things (IoT)-based innovation utilises heart rate monitoring to spot heart attacks (internet of things). this technology is highly effective in detecting heart attacks because it uses internet of things-based heart rate monitoring. An Arduino board, a pulse sensor, and a Wi-Fi module are all used in our method. When the gadget is setup, the pulse sensor will start measuring heart rates

关键词： internet of things Arduino Uno Pulse sensor ECG sensor Node MCU

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distributed Cache Performance Improvement Middleware Session 6

Distributed Cache Performance Improvement Middleware Session

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6th Iraqi international conference on Engineering technology and its Applications, IICETA 2023

作者： Essa, Mohammad Sabah, Hawraa Ali Abosinnee, Ali S. Imran, Tabark Ahmed Al-Jawahry, Hassan M. Al-Zahraa University for Women Karbala56001 Iraq National University of Science and Technology Dhi Qar Iraq Altoosi University College Najaf54001 Iraq Al-Mustaqbal University Babil Hillah51001 Iraq The Islamic University Najaf54001 Iraq

ISBN: (纸本)9798350303339

Smart gadgets are increasingly providing in-demand services, and speedier access to important services is crucial. By using the internet and telecommunications operators' expanded bandwidth, billions of smart sensors, motors, automobiles, devices, mobile phones, tablets, and people communicate in a distributed environment to obtain on-demand service. this work created a session and cookie middleware and used DHT server polymorphism to increase proxy server distributed cache efficiency for automotive services. Node clustering makes peers function as client/servers, listening to the TCP Port line and using cookie-session middleware to provide services. If there is only one node, a client/server will listen to the UDP port and use the DHT protocol to register peer properties. Game theory-based architecture is also suggested in this study. Weak Sequential Equilibrium (WSE), an extensive-form game with partial data, has been found to contain Nash and weak sequential equilibriums in one state. the simulation findings show that the suggested architecture is faster than constructing a virtual cache and moving from busy nodes, decreasing user response and bandwidth usage and increasing cache hit rate. © 2023 IEEE.

关键词： Game theory

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the Weaponisation of the internet - effect models 6

The Weaponisation of the Internet - effect models

引用

6th international conference on Applied Computational Intelligence in Information Systems, ACIIS 2023

作者： McLoughlin, Ian Singapore Institute of Technology InfoComm Technology Cluster 10 Dover Drive Singapore

ISBN: (纸本)9798350317428

Policy makers and governments are increasingly fearful of growing efforts by malicious parties to weaponise the internet. there are currently few tools to detect or measure the threat level, and few methods to either prevent or protect against these threats. One major aspect of the weaponisation of the internet is to spread misinformation, disinformation and harmful online content through social media and the web. In order to understand how this is done, to be able to assess its effectiveness and most importantly to assist in designing mitigation techniques, it is necessary to be able to model threats. In particular to understand the origin of threats, their spread, virality, and their effects on both their targets and others. this paper presents a framework to model the weaponisation of the internet in a large scale statistical sense. It considers threat actors who create a range of threats which are propagated to a susceptible target population, and caters to the varied effectiveness of those threat actors, the varied susceptibility of the population to different threats, and the varied responses, including turning or radicalisation. this model is developed, discussed and explored through a time-based simulation to understand and visualise the propagation and effects of such threats. © 2023 IEEE.

关键词： Social networking (online)

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A technology Review of Zero Knowledge Proof Techniques 10

A Technology Review of Zero Knowledge Proof Techniques

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10th international conference on internet of things, Big Data and Security, IoTBDS 2025

作者： Rostamkolaei Motlagh, Seyed Mohsen Pahl, Claus Barzegar, Hamid R. El Ioini, Nabil Free University of Bozen-Bolzano Bolzano39100 Italy University of Nottingham Semenyih43500 Malaysia

ISBN: (纸本)9789897587504

distributed systems, particularly in IoT, require robust privacy-preserving authentication mechanisms to address increasing concerns about data security and integrity. Zero-Knowledge Proofs (ZKPs) have emerged as a promising solution to balance security, privacy, and efficiency. this paper reviews and compares state-of-the-art ZKP protocols, focusing on their suitability for decentralized, resource-constrained environments. We propose a comprehensive evaluation framework and apply it to zk-SNARK, zk-STARK, and Bulletproof protocols, analyzing metrics such as scalability, efficiency, and proof size. Our findings provide actionable insights into the trade-offs between these protocols, offering guidance for their application in IoT systems. Copyright © 2025 by SCITEPRESS - Science and technology Publications, Lda.

关键词： Cluster computing

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CroPAiD: Protection of Information in Agriculture Cyber-Physical Systems Using distributed Storage and Ledger 6th

CroPAiD: Protection of Information in Agriculture Cyber-Phys...

引用

6th IFIP international conference on internet of things, IFIP IoT 2023

作者： Vangipuram, Sukrutha L. T. Mohanty, Saraju P. Kougianos, Elias Department of Computer Science and Engineering University of North Texas Denton United States Department of Electrical Engineering University of North Texas Denton United States

ISBN: (纸本)9783031458774

the agricultural domain has had a significant role throughout history in human societies across the globe. With the fast growth of communication and information systems, the structure of farming procedures has evolved to new modern standards. Although multiple features helped gain from these advancements, there are many current and rising threats to security in the agricultural domain. the present paper gives novel methods and architectural designs and implements distributed ledger through the Tangle platform. Initially, the article discusses the threats and vulnerabilities faced in the farming sector and presents an extensive literature survey, and later conducts an experiment for distributing data through a tangle distributed ledger system. the authors highlight the limitations of central, cloud, and blockchain and suggest mitigation measures through distributed IOTA systems and distributed storage facilities for data and the possible influence these solutions can bring in the aspects of data security in the agricultural sector. © 2024, IFIP international Federation for Information Processing.

关键词： Cyber Physical System

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Efficient Cross-Blockchain Token Transfers with Rollback Support 6

Efficient Cross-Blockchain Token Transfers with Rollback Sup...

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6th IEEE international conference on Decentralized Applications and Infrastructures (IEEE DAPPS)

作者： Sober, Michael Levonyak, Markus Schulte, Stefan Christian Doppler Lab Blockchain Technol Internet Hamburg Germany Hamburg Univ Technol Hamburg Germany Pantos GmbH Vienna Austria

ISBN: (纸本)9798350362961;9798350362954

Blockchain interoperability still poses a significant challenge to the practical applicability of distributed Ledger Technologies (DLTs). However, several cross-blockchain protocols already exist, allowing, e.g., the transfer of tokens between heterogenous blockchains. Unfortunately, executing these protocols is expensive and often does not consider eventual inconsistencies, which can occur if the involved blockchains fork. therefore, we propose a cross-blockchain token transfer protocol operating on Layer 2 to decrease transaction costs and enable the ability to revert transactions. the protocol uses the approach of zk rollups to move storage and computation off-chain and only stores state commitments on Layer 1. Hence, the states of the involved token contracts can quickly revert to an older state root to account for possible forks of the involved blockchains and ensure consistency.

关键词： blockchain interoperability decentralized asset transfers cross-blockchain communication digital assets rollback rollups

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Neglected Cyber threats on the Rise: Combatting IoT Botnet Infection Techniques through the Elucidation of Machine Learning 6

Neglected Cyber Threats on the Rise: Combatting IoT Botnet I...

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6th international conference on computing and Big Data, ICCBD 2023

作者： Blancaflor, Eric B. Evangelista, Renee Charlene B. Maligmat, Rondisney R. Marcelo, Denise Nicole B. Pablo, Bryan Jorel P. Vilar, Mark Joshua B. School of Information Technology Mapúa University Philippines

ISBN: (纸本)9798350317008

internet of things (IoT) devices have become prevalent in this age. the overwhelming amount of neglected IoT devices has become a powerful platform for enforcing botnets and launching DDoS attacks. Several IoT botnets have been developed and are constantly evolving due to increased security measures placed by information security professionals - some of which are: Bashlite, Mirai, and Torii. Machine learning is emerging as an effective tool for botnet detection - distinguishing malicious traffic in the network from normal traffic. Although numerous studies have already been conducted about botnet detection using machine learning algorithms, more is needed to explore machine learning models explicitly catering to each type of IoT device and the variation of botnets. Hence, this study will serve as an empirical basis for using machine learning algorithms to identify and counteract IoT botnets, underscoring the vital role that proactive security measures play in protecting interconnected networks and neglected devices. Four IT experts with different extensive job experiences and expertise were interviewed to collect valuable insights and data on the topic. © 2023 IEEE.

关键词： Bot (internet)

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Power Consumption Forecast for Load Management in Smart Grid 6

Power Consumption Forecast for Load Management in Smart Grid

引用

6th international conference on Recent Trends in Advance computing, ICRTAC 2023

作者： Tyagi, Sarthak Kaitwade, Nidhishri Seraphim, B. Ida Srmist Dept. of Computing Technology Chennai India

ISBN: (纸本)9798350394702

Amidst the dynamic landscape of contemporary energy management, this research delves into the pivotal challenge of power consumption forecasting, a linchpin for efficacious load management within the ambit of smart grids. Conventional power grids suffer from many problems like grid instability which results in power outages, voltage fluctuations, and even grid failures, overloading of transmission and distributed system, energy wastage etc. which are solved by smart grid solutions like two-way communication between the utility company and the consumer, automation and control which provides overall grid resilience, energy efficiency and integration of renewable *** core objective of this research is to confront the limitations inherent in conventional grids through the harnessing of forecasting techniques within a time series framework to address the pressing load management issues through the development and a comparative analysis of three distinct time series forecasting models: ARIMA, SARIMA, and LSTM. Moreover, the project lays the foundation for future enhancements, like the integration of more advanced machine learning techniques and time series models, and the incorporation of additional data sources. this research contributes to the ongoing evolution of smart grid technology, with far-reaching implications for energy management, renewable energy sources and sustainability in the modern world. © 2023 IEEE.

关键词： Time series

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SDN-based Service Discovery and Assignment Framework to Preserve Service Availability in Telco-based Multi-Access Edge computing 6

SDN-based Service Discovery and Assignment Framework to Pres...

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6th IEEE international conference on Fog and Edge computing (ICFEC)

作者： Ghorab, Amirhossein Abuibaid, Mohammed St-Hilaire, Marc Carleton Univ Ottawa ON Canada

ISBN: (纸本)9781665495240

the ever-growing number of connected User Equipment (UE), e.g., internet of things (IoT) devices, Connected Autonomous Vehicles (CAVs), has driven the evolution of Software-Defined Networks (SDN) and Fifth-Generation (5G) Networks to push the computing resources closer to the UE. Towards that end, Multi-access Edge computing (MEC) and Network Function Virtualization (NFV) are promising solutions to facilitate the deployment of the required user's service instances within an approximately one-hop communication range. However, discovering and assigning such service instances to the UE to maintain a high service availability is still an open challenge in the 3rd Generation Partnership Project (3GPP) standards due to the UE mobility and Telco network heterogeneity. this paper proposes an SDN-based dynamic service discovery and assignment framework for a distributed MEC infrastructure. the proposed framework considers various decision parameters such as UE's location, the service instance's demand (i.e., resource utilization), the network link status, and the service instance performance requirements (i.e., service profile) to offer a generic solution for discovering and assigning the service instances to the UE. the framework implementation results show an enhancement of the packet delivery ratio and a lower users' perceived latency.

关键词： Multi-access Edge computing Network Function Virtualization Service Assignment Service Discovery Software-Defined Networks

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Blockchain-based Federated Learning for Decentralized Energy Management Systems 5

Blockchain-based Federated Learning for Decentralized Energy...

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

作者： Zekiye, Abdulrezzak Özkasap, Öznur Koç University Department of Computer Engineering Istanbul Turkey

ISBN: (纸本)9798350339239

the internet of Energy (IoE) is a distributed paradigm that leverages smart networks and distributed system technologies to enable decentralized energy systems. In contrast to the traditional centralized energy systems, distributed Energy internet systems comprise multiple components and communication requirements that demand innovative technologies for decentralization, reliability, efficiency, and security. Recent advances in blockchain architectures, smart contracts, and distributed federated learning technologies have opened up new opportunities for realizing decentralized Energy internet services. In this paper, we present a comprehensive analysis and classification of state-of-the-art solutions that employ blockchain, smart contracts, and federated learning for the IoE domains. Specifically, we identify four representative system models and discuss their key aspects. these models demonstrate the diverse 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. Furthermore, we provide a detailed comparison of the different levels of decentralization, the advantages of federated learning, and the benefits of using blockchain for the IoE systems. Additionally, we identify open issues and areas for future research for integrating federated learning and blockchain in the internet of Energy domains. © 2023 IEEE.

关键词： internet of Energy

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