Probabilistic Data Structures for Blockchain-Based Internet of Things Applications

This book covers theory and practical knowledge of Probabilistic data structures (PDS) and Blockchain (BC) concepts. It introduces the applicability of PDS in BC to technology practitioners and explains each PDS through code snippets and illustrative examples. Further, it provides references for the applications of PDS to BC along with implementation codes in python language for various PDS so that the readers can gain confidence using hands on experience. Organized into five sections, the book covers IoT technology, fundamental concepts of BC, PDS and algorithms used to estimate membership query, cardinality, similarity and frequency, usage of PDS in BC based IoT and so forth.

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.