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001 978-3-031-01877-0
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008 220601s2021 sz | s |||| 0|eng d
020 _a9783031018770
_9978-3-031-01877-0
024 7 _a10.1007/978-3-031-01877-0
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
100 1 _aGupta, Suyash.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980346
245 1 0 _aFault-Tolerant Distributed Transactions on Blockchain
_h[electronic resource] /
_cby Suyash Gupta, Jelle Hellings, Mohammad Sadoghi.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXX, 248 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Data Management,
_x2153-5426
505 0 _aPreface -- Introduction -- Practical Byzantine Fault-Tolerant Consensus -- Beyond the Design of PBFT -- Toward Scalable Blockchains -- Permissioned Blockchains -- Permissionless Blockchains -- Bibliography -- Authors' Biographies.
520 _aSince the introduction of Bitcoin-the first widespread application driven by blockchain-the interest of the public and private sectors in blockchain has skyrocketed. In recent years, blockchain-based fabrics have been used to address challenges in diverse fields such as trade, food production, property rights, identity-management, aid delivery, health care, and fraud prevention. This widespread interest follows from fundamental concepts on which blockchains are built that together embed the notion of trust, upon which blockchains are built. 1. Blockchains provide data transparancy. Data in a blockchain is stored in the form of a ledger, which contains an ordered history of all the transactions. This facilitates oversight and auditing. 2. Blockchains ensure data integrity by using strong cryptographic primitives. This guarantees that transactions accepted by the blockchain are authenticated by its issuer, are immutable, and cannot be repudiated by the issuer. This ensures accountability. 3. Blockchains are decentralized, democratic, and resilient. They use consensus-based replication to decentralize the ledger among many independent participants. Thus, it can operate completely decentralized and does not require trust in a single authority. Additions to the chain are performed by consensus, in which all participants have a democratic voice in maintaining the integrity of the blockchain. Due to the usage of replication and consensus, blockchains are also highly resilient to malicious attacks even when a significant portion of the participants are malicious. It further increases the opportunity for fairness and equity through democratization. These fundamental concepts and the technologies behind them-a generic ledger-based data model, cryptographically ensured data integrity, and consensus-based replication-prove to be a powerful and inspiring combination, a catalyst to promote computational trust. In this book, we present an in-depth study of blockchain, unraveling its revolutionary promise to instill computational trust in society, all carefully tailored to a broad audience including students, researchers, and practitioners. We offer a comprehensive overview of theoretical limitations and practical usability of consensus protocols while examining the diverse landscape of how blockchains are manifested in their permissioned and permissionless forms.
650 0 _aComputer networks .
_931572
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 1 4 _aComputer Communication Networks.
_980347
650 2 4 _aData Structures and Information Theory.
_931923
700 1 _aHellings, Jelle.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980348
700 1 _aSadoghi, Mohammad.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980349
710 2 _aSpringerLink (Online service)
_980350
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031001048
776 0 8 _iPrinted edition:
_z9783031007491
776 0 8 _iPrinted edition:
_z9783031030055
830 0 _aSynthesis Lectures on Data Management,
_x2153-5426
_980351
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01877-0
912 _aZDB-2-SXSC
942 _cEBK
999 _c84943
_d84943