Probabilistic data structures for blockchain-based internet of things applications [electronic resource] / Neeraj Kumar, Arzoo Miglani.
By: Kumar, Neeraj (Computer scientist) [author.]
.
Contributor(s): Miglani, Arzoo [author.].
Material type: 
BookPublisher: Boca Raton : CRC Press, 2020Description: 1 online resource.Content type: text | still image Media type: computer Carrier type: online resourceISBN: 9781000327632; 1000327639; 9781000327694; 1000327698; 9781000327663; 1000327663; 9781003080046; 1003080049.Subject(s): Blockchains (Databases) | Probabilistic databases | Internet of things | COMPUTERS / Machine Theory | COMPUTERS / Computer Engineering | MATHEMATICS / ArithmeticDDC classification: 005.7 Online resources: Taylor & Francis | OCLC metadata license agreement Summary: 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.
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.
OCLC-licensed vendor bibliographic record.
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