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Durham Research Online
Part of book or chapter of book . 2017 . Peer-reviewed
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http://dro.dur.ac.uk/24014/1/2...
Part of book or chapter of book
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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2017 . Peer-reviewed
License: Springer TDM
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DBLP
Conference object . 2020
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The Seconomics (Security-Economics) Vulnerabilities of Decentralized Autonomous Organizations

Authors: Fabio Massacci; Ngo Chan Nam; Jing Nie; Daniele Venturi; Julian Williams;

The Seconomics (Security-Economics) Vulnerabilities of Decentralized Autonomous Organizations

Abstract

Traditionally, security and economics functionalities in IT financial services and protocols (FinTech) have been perceived as separate objectives. We argue that keeping them separate is a bad idea for FinTech “Decentralized Autonomous Organizations” (DAOs). In fact, security and economics are one for DAOs: we show that the failure of a security property, e.g. anonymity, can destroy a DAOs because economic attacks can be tailgated to security attacks. This is illustrated by the examples of “TheDAO” (built on the Ethereum platform) and the DAOed version of a Futures Exchange. We claim that security and economics vulnerabilities, which we named seconomics vulnerabilities, are indeed new “beasts” to be reckoned with.

Countries
Italy, United Kingdom
Keywords

Decentralized Autonomous Organizations; FinTech; Seconomics vulnerabilities; Security protocols; Theoretical Computer Science; Computer Science (all)

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Top 10%
Green