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haas zygmunt j. (curatore); prakash ravi (curatore); ammari habib (curatore); wu weili (curatore) - wireless internet
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Wireless Internet 15th EAI International Conference, WiCON 2022, Virtual Event, November 2022, Proceedings

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 02/2023
Edizione: 1st ed. 2023





Trama

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.




Sommario

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.










Altre Informazioni

ISBN:

9783031270406

Condizione: Nuovo
Collana: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:X, 244 p. 87 illus., 60 illus. in color.
Pagine Arabe: 244
Pagine Romane: x


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