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Financial Cryptography and Data Security

Overview of attention for book
Cover of 'Financial Cryptography and Data Security'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Biased Nonce Sense: Lattice Attacks Against Weak ECDSA Signatures in Cryptocurrencies
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    Chapter 2 Snow White: Robustly Reconfigurable Consensus and Applications to Provably Secure Proof of Stake
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    Chapter 3 Compounding of Wealth in Proof-of-Stake Cryptocurrencies
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    Chapter 4 Short Paper: I Can’t Believe It’s Not Stake! Resource Exhaustion Attacks on PoS
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    Chapter 5 Short Paper: An Exploration of Code Diversity in the Cryptocurrency Landscape
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    Chapter 6 Short Paper: An Empirical Analysis of Blockchain Forks in Bitcoin
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    Chapter 7 Detecting Token Systems on Ethereum
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    Chapter 8 Measuring Ethereum-Based ERC20 Token Networks
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    Chapter 9 New Empirical Traceability Analysis of CryptoNote-Style Blockchains
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    Chapter 10 Short Paper: An Empirical Analysis of Monero Cross-chain Traceability
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    Chapter 11 PRCash: Fast, Private and Regulated Transactions for Digital Currencies
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    Chapter 12 ZLiTE: Lightweight Clients for Shielded Zcash Transactions Using Trusted Execution
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    Chapter 13 Designed to Be Broken: A Reverse Engineering Study of the 3D Secure 2.0 Payment Protocol
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    Chapter 14 Short Paper: Making Contactless EMV Robust Against Rogue Readers Colluding with Relay Attackers
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    Chapter 15 Short Paper: How to Attack PSD2 Internet Banking
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    Chapter 16 Your Money or Your Life—Modeling and Analyzing the Security of Electronic Payment in the UC Framework
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    Chapter 17 Secure Trick-Taking Game Protocols
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    Chapter 18 ROYALE: A Framework for Universally Composable Card Games with Financial Rewards and Penalties Enforcement
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    Chapter 19 Universally Verifiable MPC and IRV Ballot Counting
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    Chapter 20 Synchronous Byzantine Agreement with Expected O(1) Rounds, Expected $$O(n^2)$$ Communication, and Optimal Resilience
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    Chapter 21 Oblivious PRF on Committed Vector Inputs and Application to Deduplication of Encrypted Data
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    Chapter 22 Adaptively Secure Constrained Pseudorandom Functions
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    Chapter 23 LARA: A Design Concept for Lattice-Based Encryption
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    Chapter 24 Short Paper: The Proof is in the Pudding
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    Chapter 25 Minimizing Trust in Hardware Wallets with Two Factor Signatures
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    Chapter 26 A Formal Treatment of Hardware Wallets
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    Chapter 27 VeriSolid: Correct-by-Design Smart Contracts for Ethereum
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    Chapter 28 Bitcoin Security Under Temporary Dishonest Majority
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    Chapter 29 VAPOR: A Value-Centric Blockchain that is Scale-out, Decentralized, and Flexible by Design
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    Chapter 30 Sprites and State Channels: Payment Networks that Go Faster Than Lightning
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    Chapter 31 Echoes of the Past: Recovering Blockchain Metrics from Merged Mining
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    Chapter 32 TxProbe: Discovering Bitcoin’s Network Topology Using Orphan Transactions
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    Chapter 33 Forecasting Suspicious Account Activity at Large-Scale Online Service Providers
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    Chapter 34 Thinking Like a Fraudster: Detecting Fraudulent Transactions via Statistical Sequential Features
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    Chapter 35 Secure Multiparty PageRank Algorithm for Collaborative Fraud Detection
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    Chapter 36 HEALED: HEaling & Attestation for Low-End Embedded Devices
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    Chapter 37 One-Time Programs Made Practical
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    Chapter 38 Statement Voting
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    Chapter 39 Fast Authentication from Aggregate Signatures with Improved Security
Overall attention for this book and its chapters
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Title
Financial Cryptography and Data Security
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-32101-7
ISBNs
978-3-03-032100-0, 978-3-03-032101-7
Editors

Ian Goldberg, Tyler Moore

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Student > Master 3 21%
Professor > Associate Professor 1 7%
Unknown 5 36%
Readers by discipline Count As %
Computer Science 6 43%
Arts and Humanities 1 7%
Economics, Econometrics and Finance 1 7%
Engineering 1 7%
Unknown 5 36%