Wireless Internet: 15th EAI International Conference, WiCON 2022, Virtual Event, November 2022, Proceedings: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 464
Editat de Zygmunt J. Haas, Ravi Prakash, Habib Ammari, Weili Wuen Limba Engleză Paperback – 18 feb 2023
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.
Din seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- 5%
Preț: 309.16 lei - 20%
Preț: 314.67 lei -
Preț: 385.99 lei - 20%
Preț: 498.46 lei - 20%
Preț: 270.83 lei - 20%
Preț: 270.73 lei - 20%
Preț: 270.83 lei - 20%
Preț: 317.05 lei - 20%
Preț: 270.23 lei - 20%
Preț: 270.98 lei - 20%
Preț: 314.67 lei - 20%
Preț: 317.05 lei - 20%
Preț: 326.72 lei - 20%
Preț: 321.03 lei - 20%
Preț: 313.42 lei - 20%
Preț: 458.69 lei - 20%
Preț: 317.05 lei - 20%
Preț: 495.28 lei - 20%
Preț: 495.12 lei - 20%
Preț: 458.99 lei - 20%
Preț: 388.57 lei - 20%
Preț: 494.83 lei - 18%
Preț: 931.81 lei - 20%
Preț: 529.35 lei - 20%
Preț: 494.68 lei - 20%
Preț: 573.45 lei - 20%
Preț: 647.15 lei - 20%
Preț: 315.48 lei - 20%
Preț: 459.55 lei - 20%
Preț: 635.26 lei - 5%
Preț: 553.86 lei - 20%
Preț: 481.11 lei - 20%
Preț: 319.42 lei - 20%
Preț: 956.44 lei - 20%
Preț: 335.29 lei - 20%
Preț: 329.60 lei - 20%
Preț: 642.40 lei - 20%
Preț: 328.94 lei - 20%
Preț: 328.16 lei -
Preț: 370.10 lei - 5%
Preț: 287.80 lei - 20%
Preț: 319.13 lei - 20%
Preț: 323.73 lei - 20%
Preț: 395.14 lei - 20%
Preț: 328.29 lei - 20%
Preț: 323.41 lei - 20%
Preț: 320.06 lei - 20%
Preț: 326.55 lei - 20%
Preț: 323.73 lei
Preț: 459.10 lei
Preț vechi: 573.87 lei
-20% Nou
Puncte Express: 689
Preț estimativ în valută:
81.24€ • 95.26$ • 71.35£
81.24€ • 95.26$ • 71.35£
Carte disponibilă
Livrare economică 16-30 ianuarie 26
Livrare express 01-07 ianuarie 26 pentru 29.10 lei
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783031270406
ISBN-10: 3031270401
Pagini: 244
Ilustrații: X, 244 p. 87 illus., 60 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.36 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3031270401
Pagini: 244
Ilustrații: X, 244 p. 87 illus., 60 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.36 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Locul publicării:Cham, Switzerland
Cuprins
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.