Efficient management of dams and reservoirs is essential for optimizing water resources, preventing floods, and ensuring structural reliability of the dams. In Sri Lanka, manual dam operations introduce inefficiencies...
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The Internet of Things (IoT) has had a profound impact on the healthcare sector by paving the way for the creation of smart healthcare systems that improve patient monitoring, diagnosis, and individualized care. The p...
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IoT-based smart healthcare is a new technological shift toward efficient, convenient, cheaper, and faster medical services using artificial learning, big dataanalytics, sensor technologies, and cloud computing. smart...
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smart manufacturing has become a significant topic of interest among manufacturing industry professionals and researchers in recent times. smart manufacturing involves the incorporation of cutting-edge technologies, i...
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The proceedings contain 29 papers. The special focus in this conference is on Mobility, IoT and smart Cities. The topics include: Sustainable Mobility for the Sustainable Development of Modern Urban Agglomerations;mat...
ISBN:
(纸本)9783031565328
The proceedings contain 29 papers. The special focus in this conference is on Mobility, IoT and smart Cities. The topics include: Sustainable Mobility for the Sustainable Development of Modern Urban Agglomerations;mathematical Model of Transport Stream Sustainability at Road Network Areas During Traffic Jams;air Quality Improvement Based on the Application of Emission Monitoring System with Triangulation;Machine Learning Regression Model in MATLAB for Predicting Gas Emissions During the Pellet Combustion;intelligent Devices Used in Healthcare;strategic Decision-Making for Evaluating Risks Significance in Degreasing and Pickling;methods of Choosing Technology for Improving the Environmental Indicators of Vehicles;an Engaging Mobile Application for Tourists with Gamification Elements that Promotes Lesser-Known Coffee Shops in the Copenhagen Suburbs;Image Transmission in LoRaWAN: An Experimental Study on Transmission Time;the Effect of a Face Wall on a Cellular Structure During Bending;big dataanalytics: A Systematic Literature Review on Fields of Application As Well As Costs and Risks in Management Reporting;sustainable Development of Rural Areas: Machine Learning for Semantic Segmentation of Agricultural Fields;Measurement of data Transmission Speed in 5G and 4G LTE Mobile Networks Between a Moving Vehicle and the Environment;optimization of 3D Computer Model Parameters for Spherical Elements Modeling;the Clean Energy as Solution for Global Challenges and Sustainable Development;virtual Influencer—A New Phenomenon in the Marketing Communication or Illusion?;tools for Creating Business Models in smart Cities;current Challenges of Autonomous Vehicles in Relation to Regulatory Issues;use of Artificial Intelligence in Supply Chain Management.
Across all industries, cloud-based automated control systems have completely changed how operational and environmental parameters are tracked and controlled. With cloud-integrated systems for real-time data collection...
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The wireless body area network (WBAN) is a wireless sensor network that calculates natural constraints for special applications using wireless sensor nodes in and around the human body. Routing protocols used in wirel...
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The management of trash in urban areas encounters substantial obstacles because of the increasing population density and ineffective collection methods, resulting in environmental and health risks in urban cities. Cur...
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The healthcare services across the world have been badly affected by the pandemic since December 2019. People have suffered in terms of medical supplies and treatments because existing medical infrastructure has faile...
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The Internet of Things (IoT) based on Deep Learning (DL) technologies has facilitated people's lives in various aspects. However, since the IoT data used to train DL models contains users' sensitive personal i...
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ISBN:
(纸本)9798350309461
The Internet of Things (IoT) based on Deep Learning (DL) technologies has facilitated people's lives in various aspects. However, since the IoT data used to train DL models contains users' sensitive personal information, privacy and security concerns arise in IoT. Although many works have presented security solutions for the privacy and security concerns on IoT, they cannot monitor the model quality of data owners, resulting in unusable models making misleading decisions, and they cannot defend against the curious participants inferring private data in the model training process. In this paper, we propose a Decentralized Reputation-based Leader Election scheme (DeRLE) for privacy-preserving distributed model training in IoT based on Federated Learning (FL) and Blockchain. DeRLE adopts decentralized model training while preserving privacy. To avoid a single point of failure in FL, DeRLE elects a refreshed leader in each epoch of model update, which prevents the fixed server of the basic FL from deriving sensitive data from historical local models. Furthermore, to protect the privacy of local models in FL, we design a reputation-based Differential Privacy (DP) mechanism to supervise the quality of local models and encourage data owners to inject reasonable DP noise. We conduct extensive experiments using Hyperledger Fabric and MNIST. The evaluation results confirm the fairness of DeRLE's probability distribution and demonstrate its feasibility and effectiveness.
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