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Wireless Internet

15th EAI International Conference, WiCON 2022, Virtual Event, November 2022, Proceedings

Specificaties
Paperback, blz. | Engels
Springer Nature Switzerland | e druk, 2023
ISBN13: 9783031270406
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Springer Nature Switzerland e druk, 2023 9783031270406
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Samenvatting

This book constitutes the refereed post-conference proceedings of the 15th International Conference on Wireless Internet, WiCON 2022, held in November 2022. Due to COVID-19 pandemic the conference was held virtually.
The 16 full papers were selected from 45 submissions and are grouped into the following topics: Security and privacy; blockchain and wireless networks; Resource management, routing, and internet computing; social networks and learning.

Specificaties

ISBN13:9783031270406
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Switzerland

Inhoudsopgave

​Security and Privacy.- Preventing Adversarial Attacks on Autonomous Driving Models.- Implementation Aspects of Supersingular Isogeny-Based Cryptographic Hash Function.- Trust-based Communities for Smart Grid Security and Privacy.- Decentralized federated learning: A defense against gradient inversion attack.- Blockchain and Wireless Networks.- A Framework for a Blockchain-Based Decentralized Data Marketplace.- Formulate Full View Camera Sensor Coverage by Using Group Set Coverage.- Delay-aware Hash Tree for Blockchain on Vehicular Delay Tolerant Networks.-  Learning the Propagation of Worms in Wireless Sensor Networks.- Resource Management, Routing, and Internet Computing.- 5G Channel Forecasting and Power Allocation Based on LSTM Network and Cooperative Communication.- Fog Resource Sharing to enable Pay per Use Mode.- An Emergency Information Broadcast Routing in VANET.- IP Lookup Technology for Internet Computing.- Social Networks and Learning.- Equilibrium Strategies and Social Welfare in Cognitive Radio Networks with Imperfect Spectrum Sensing.- Spatial Temporal Graph Convolutional Network Model for Rumor Source Detection under Multiple Observations in Social Networks.-  Addressing Class Imbalance in Federated Learning via Collaborative GAN-based Up-Sampling.-  Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem.
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