Probabilistic Data Structures for Blockchain-Based Internet of Things Applications - Tapa blanda

Kumar, Neeraj; Miglani, Arzoo

 
9780367529949: Probabilistic Data Structures for Blockchain-Based Internet of Things Applications
Tapa blanda
ISBN 10: 0367529947 ISBN 13: 9780367529949
Editorial: CRC Press, 2024

Sinopsis

This book covers theory and practical knowledge of probabilistic data structures (PDS) and blockchain (BC) concepts. It introduces the applicability of PDS in BC and each PDS has been explained through code snippets and illustrative examples. Further, it covers applications of PDS to BC along with implementation codes in Python.

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Acerca del autor

Prof. Neeraj Kumar received his Ph.D. in CSE from Shri Mata Vaishno Devi University, Katra (Jammu and Kashmir), India in 2009, and was a postdoctoral research fellow in Coventry University, Coventry, UK. He is working as a Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology (Deemed to be University), Patiala (Pb.), India. His research areas are Network management, IoT, Big Data Analytics, Deep learning and cyber-security.

Arzoo Miglani is currently pursuing Ph.D. from Thapar Institute of Engineering & Technology (TIET), Patiala. She had worked with DIT University, Dehradun for 2 years as an assistant professor and with TIET for 1 year. She has done her ME in Information Security from TIET in 2015. She has completed her B.tech from GJU, Hisar in 2009. She is GATE qualified. Her research area includes Wireless Sensor networks and network security, blockchain and content centric networking.

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Editorial
CRC Press
Año de publicación
2024
Idioma
Inglés
ISBN 10 
0367529947
ISBN 13 
9780367529949
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
322
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9780367529901: Probabilistic Data Structures for Blockchain-Based Internet of Things Applications

Edición Destacada

ISBN 10:  0367529904 ISBN 13:  9780367529901
Editorial: CRC Press, 2020
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