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Data Privacy Management, Cryptocurrencies and Blockchain Technology

Overview of attention for book
Cover of 'Data Privacy Management, Cryptocurrencies and Blockchain Technology'

Table of Contents

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    Book Overview
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    Chapter 1 Succinctly Verifiable Sealed-Bid Auction Smart Contract
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    Chapter 2 Blockchain-Based Fair Certified Notifications
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    Chapter 3 On Symbolic Verification of Bitcoin’s script Language
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    Chapter 4 Self-reproducing Coins as Universal Turing Machine
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    Chapter 5 Split Payments in Payment Networks
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    Chapter 6 Payment Network Design with Fees
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    Chapter 7 Atomic Information Disclosure of Off-Chained Computations Using Threshold Encryption
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    Chapter 8 Contour: A Practical System for Binary Transparency
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    Chapter 9 What Blockchain Alternative Do You Need?
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    Chapter 10 Valuable Puzzles for Proofs-of-Work
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    Chapter 11 A Poisoning Attack Against Cryptocurrency Mining Pools
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    Chapter 12 Using Economic Risk to Model Miner Hash Rate Allocation in Cryptocurrencies
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    Chapter 13 Avoiding Deadlocks in Payment Channel Networks
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    Chapter 14 Coloured Ring Confidential Transactions
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    Chapter 15 Pitchforks in Cryptocurrencies:
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    Chapter 16 Towards an Effective Privacy Impact and Risk Assessment Methodology: Risk Analysis
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    Chapter 17 Privacy Risk Assessment: From Art to Science, by Metrics
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    Chapter 18 Bootstrapping Online Trust: Timeline Activity Proofs
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    Chapter 19 Post-processing Methods for High Quality Privacy-Preserving Record Linkage
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    Chapter 20 $$\delta $$-DOCA: Achieving Privacy in Data Streams
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    Chapter 21 Data Oblivious Genome Variants Search on Intel SGX
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    Chapter 22 Developing GDPR Compliant Apps for the Edge
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    Chapter 23 YaPPL - A Lightweight Privacy Preference Language for Legally Sufficient and Automated Consent Provision in IoT Scenarios
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    Chapter 24 PrivacyGuard: Enforcing Private Data Usage with Blockchain and Attested Execution
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    Chapter 25 A Performance and Resource Consumption Assessment of Secret Sharing Based Secure Multiparty Computation
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    Chapter 26 Privacy-Preserving Trade Chain Detection
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    Chapter 27 FHE-Compatible Batch Normalization for Privacy Preserving Deep Learning
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    Chapter 28 A General Algorithm for k-anonymity on Dynamic Databases
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    Chapter 29 On Security of Anonymous Invitation-Based System
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    Chapter 30 Probabilistic Metric Spaces for Privacy by Design Machine Learning Algorithms: Modeling Database Changes
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    Chapter 31 Lifelogging Protection Scheme for Internet-Based Personal Assistants
Overall attention for this book and its chapters
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Mentioned by

1 news outlet
23 tweeters
1 Facebook page


8 Dimensions

Readers on

51 Mendeley
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Data Privacy Management, Cryptocurrencies and Blockchain Technology
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-030-00305-0
978-3-03-000304-3, 978-3-03-000305-0

Joaquin Garcia-Alfaro, Jordi Herrera-Joancomartí, Giovanni Livraga, Ruben Rios

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Student > Master 10 20%
Student > Doctoral Student 5 10%
Student > Bachelor 5 10%
Lecturer 2 4%
Other 6 12%
Unknown 11 22%
Readers by discipline Count As %
Computer Science 19 37%
Engineering 6 12%
Social Sciences 6 12%
Business, Management and Accounting 4 8%
Economics, Econometrics and Finance 3 6%
Other 1 2%
Unknown 12 24%