Editors:
Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8438)
Part of the book sub series: Security and Cryptology (LNSC)
Conference series link(s): FC: International Conference on Financial Cryptography and Data Security
Conference proceedings info: FC 2014.
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Table of contents (19 papers)
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Front Matter
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Bitcoin Transactions, Policy and Legal Issues
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Front Matter
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Improving Digital Currencies
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Front Matter
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Bitcoin Poster Abstracts
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Front Matter
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Applied Homomorphic Cryptography and Encrypted Computing
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Front Matter
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Other Volumes
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Financial Cryptography and Data Security
About this book
Keywords
- Bitcoin
- DDoS
- anonymity
- applied cryptography
- cryptographic currencies
- denial-of-service-attacks
- e-business
- eBusiness
- economics
- encryption
- game theory
- homomorphic cryptography
- network security
- peer-to-peer networks
- privacy
Editors and Affiliations
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University of Münster, Münster, Germany
Rainer Böhme
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University of Hannover, Hannover, Germany
Michael Brenner
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Southern Methodist University CS and Engineering Department, Dallas, USA
Tyler Moore
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University of Bonn, Bonn, Germany
Matthew Smith
Bibliographic Information
Book Title: Financial Cryptography and Data Security
Book Subtitle: FC 2014 Workshops, BITCOIN and WAHC 2014, Christ Church, Barbados, March 7, 2014, Revised Selected Papers
Editors: Rainer Böhme, Michael Brenner, Tyler Moore, Matthew Smith
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-44774-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: IFCA/Springer-Verlag Berlin Heidelberg 2014
Softcover ISBN: 978-3-662-44773-4Published: 20 October 2014
eBook ISBN: 978-3-662-44774-1Published: 07 October 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 249
Number of Illustrations: 36 b/w illustrations
Topics: Data and Information Security, Cryptology, e-Commerce and e-Business, Computer Application in Administrative Data Processing