國立虎尾科技大學 |

Decentralised Internet of Things = A Blockchain Perspective /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Decentralised Internet of Things/ edited by Mohammad Ayoub Khan, Mohammad Tabrez Quasim, Fahad Algarni, Abdullah Alharthi.
其他題名:	A Blockchain Perspective /
其他作者:	Alharthi, Abdullah.
面頁冊數:	XVII, 254 p. 90 illus., 66 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-3-030-38677-1
ISBN:	9783030386771

Decentralised Internet of Things = A Blockchain Perspective /
Decentralised Internet of ThingsA Blockchain Perspective /[electronic resource] :edited by Mohammad Ayoub Khan, Mohammad Tabrez Quasim, Fahad Algarni, Abdullah Alharthi. - 1st ed. 2020. - XVII, 254 p. 90 illus., 66 illus. in color.online resource. - Studies in Big Data,712197-6503 ;. - Studies in Big Data,8.

Decentralised Internet of Things -- Practical Privacy Measures in Blockchains -- Empirical Evaluation of Blockchain Smart Contracts -- Blockchain Frameworks -- Consensus Algorithms -- Smart Contracts-Enabled Simulation for Hyperconnected Logistics -- Validating BGP Update Using Blockchain-Based Infrastructure -- Blockchain and Smart Contract in Future Transactions – case studies -- IoMT: A Blockchain Perspective -- Legal Ramifications of Blockchain Technology Implementation -- On the Opportunities, Applications, and Challenges of Internet of Things.

This book presents practical as well as conceptual insights into the latest trends, tools, techniques and methodologies of blockchains for the Internet of Things. The decentralised Internet of Things (IoT) not only reduces infrastructure costs, but also provides a standardised peer-to-peer communication model for billions of transactions. However, there are significant security challenges associated with peer-to-peer communication. The decentralised concept of blockchain technology ensures transparent interactions between different parties, which are more secure and reliable thanks to distributed ledger and proof-of-work consensus algorithms. Blockchains allow trustless, peer-to-peer communication and have already proven their worth in the world of financial services. The blockchain can be implanted in IoT systems to deal with the issues of scale, trustworthiness and decentralisation, allowing billions of devices to share the same network without the need for additional resources. This book discusses the latest tools and methodology and concepts in the decentralised Internet of Things. Each chapter presents an in-depth investigation of the potential of blockchains in the Internet of Things, addressing the state-of-the-art in and future perspectives of the decentralised Internet of Things. Further, industry experts, researchers and academicians share their ideas and experiences relating to frontier technologies, breakthrough and innovative solutions and applications.

ISBN: 9783030386771

Standard No.: 10.1007/978-3-030-38677-1doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

Decentralised Internet of Things = A Blockchain Perspective /
LDR:03592nam a22004215i 4500 001 1027278
003 DE-He213
005 20200705131600.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030386771 $9 978-3-030-38677-1
024 7 $a 10.1007/978-3-030-38677-1 $2 doi
035 $a 978-3-030-38677-1
050 4 $a TA345-345.5
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
072 7 $a TB $2 thema
082 0 4 $a 620.00285 $2 23
245 1 0 $a Decentralised Internet of Things $h [electronic resource] : $b A Blockchain Perspective / $c edited by Mohammad Ayoub Khan, Mohammad Tabrez Quasim, Fahad Algarni, Abdullah Alharthi.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XVII, 254 p. 90 illus., 66 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Big Data, $x 2197-6503 ; $v 71
505 0 $a Decentralised Internet of Things -- Practical Privacy Measures in Blockchains -- Empirical Evaluation of Blockchain Smart Contracts -- Blockchain Frameworks -- Consensus Algorithms -- Smart Contracts-Enabled Simulation for Hyperconnected Logistics -- Validating BGP Update Using Blockchain-Based Infrastructure -- Blockchain and Smart Contract in Future Transactions – case studies -- IoMT: A Blockchain Perspective -- Legal Ramifications of Blockchain Technology Implementation -- On the Opportunities, Applications, and Challenges of Internet of Things.
520 $a This book presents practical as well as conceptual insights into the latest trends, tools, techniques and methodologies of blockchains for the Internet of Things. The decentralised Internet of Things (IoT) not only reduces infrastructure costs, but also provides a standardised peer-to-peer communication model for billions of transactions. However, there are significant security challenges associated with peer-to-peer communication. The decentralised concept of blockchain technology ensures transparent interactions between different parties, which are more secure and reliable thanks to distributed ledger and proof-of-work consensus algorithms. Blockchains allow trustless, peer-to-peer communication and have already proven their worth in the world of financial services. The blockchain can be implanted in IoT systems to deal with the issues of scale, trustworthiness and decentralisation, allowing billions of devices to share the same network without the need for additional resources. This book discusses the latest tools and methodology and concepts in the decentralised Internet of Things. Each chapter presents an in-depth investigation of the potential of blockchains in the Internet of Things, addressing the state-of-the-art in and future perspectives of the decentralised Internet of Things. Further, industry experts, researchers and academicians share their ideas and experiences relating to frontier technologies, breakthrough and innovative solutions and applications.
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Big Data. $3 1017136
650 2 4 $a Computational Intelligence. $3 768837
650 1 4 $a Data Engineering. $3 1226308
650 0 $a Machine learning. $3 561253
650 0 $a Big data. $3 981821
650 0 $a Computational intelligence. $3 568984
650 0 $a Engineering—Data processing. $3 1297966
700 1 $a Alharthi, Abdullah. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1323662
700 1 $a Algarni, Fahad. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1323661
700 1 $a Quasim, Mohammad Tabrez. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1323660
700 1 $a Khan, Mohammad Ayoub. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1022214
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030386764
776 0 8 $i Printed edition: $z 9783030386788
776 0 8 $i Printed edition: $z 9783030386795
830 0 $a Studies in Big Data, $x 2197-6503 ; $v 8 $3 1256918
856 4 0 $u https://doi.org/10.1007/978-3-030-38677-1
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)