Financial Cryptography and Data Security  FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised Selected Papers /  [electronic resource] : 
edited by Michael Brenner, Kurt Rohloff, Joseph Bonneau, Andrew Miller, Peter Y.A. Ryan, Vanessa Teague, Andrea Bracciali, Massimiliano Sala, Federico Pintore, Markus Jakobsson. 
 - 1st ed. 2017. 
 - XXII, 636 p. 97 illus.  online resource. 
 - Security and Cryptology,  10323  2946-1863 ; .
 - Security and Cryptology,  10323 .
<br/><br/>Encrypted Computing and Applied Homomorphic Cryptography -- Bitcoin and Blockchain Research -- Secure Voting Systems -- Trusted Smart Contracts -- Targeted Attacks. 
<br/><br/> This book constitutes the refereed proceedings of 5 workshops held at the 21st International Conference on Financial Cryptography and Data Security, FC 2017, in Sliema, Malta, in April 2017. The 39 full papers presented were carefully reviewed and selected from 96 submissions. They feature the outcome of the 5th Workshop on Encrypted Computing and Applied Homomorphic Cryptography, WAHC 2017, the 4th Workshop on Bitcoin and Blockchain Research, BITCOIN 2017, the Second Workshop on Secure Voting Systems, VOTING 2017, the First Workshop on Trusted Smart Contracts, WTSC 2017, and the First Workshop on Targeted Attacks, TA 2017. The papers are grouped in topical sections named: encrypted computing and applied homomorphic cryptography; bitcoin and blockchain research; advances in secure electronic voting schemes; trusted smart contracts; targeted attacks. 
<br/><br/><label>ISBN: </label>9783319702780 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-70278-0  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data protection.<br/>Cryptography.<br/>Data encryption (Computer science).<br/>Computer networks .<br/>Computers.<br/>Computer engineering.<br/>Artificial intelligence.<br/>Data and Information Security.<br/>Cryptology.<br/>Computer Communication Networks.<br/>Computing Milieux.<br/>Computer Engineering and Networks.<br/>Artificial Intelligence.
<br/><br/><label>LC Class. No.: </label>QA76.9.A25 
<br/><br/><label>Dewey Class. No.: </label>005.8