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PRODID:-//Cornell U. Department of Computer Science//Brown Bag Seminar//EN
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SUMMARY:Brown bag: Ari Juels
DESCRIPTION:Title: The Ring of Gyges: Using Smart Contracts for
	 Crime\nSpeaker: Ari Juels\nAbstract: Thanks to their anonymity
	 (pseudonymity) and lack of trusted intermediaries\, cryptocurrencies
	 such as Bitcoin have created or stimulated growth in many businesses and
	 communities. A number of resulting activities\, however\, are harmful or
	 criminal\, including money laundering\, marketplaces for illicit goods\,
	 and ransomware.\nEmerging next-generation cryptocurrencies such as
	 Ethereum will include rich scripting languages in support of *smart
	 contracts*\, programs that autonomously intermediate transactions and
	 can consume authenticated data feeds as inputs.  We show how these new
	 cryptocurrency environments will enlarge the range of criminal
	 activities that can be achieved with anonymity and minimal trust
	 assumptions and may thus fuel new criminal ecosystems. Specifically\, we
	 show how cryptographically secure and incentive-compatible criminal
	 smart contracts can facilitate leakage of confidential information\,
	 theft of cryptographic keys\, and various real-world crimes (murder\,
	 arson\, terrorism).\nWhile some contracts for some of these crimes are
	 efficiently realizable in existing scripting languages\, others require
	 cryptographic primitives such as succinct non-interactive arguments of
	 knowledge (SNARKs). Today's cryptocurrencies such as Ethereum can in
	 principle support these primitives\, but with minimal changes would
	 enable far more efficient implementation. These changes would also
	 benefit benign contracts\, and are thus already envisioned by the
	 community.\nJoint work with Ahmed Kosba (UMD) and Elaine Shi (Cornell
	 Univ.)
LOCATION:Gates 122
UID:2015-09-28
STATUS:CONFIRMED
DTSTART:20150928T160000Z
DTEND:20150928T170000Z
LAST-MODIFIED:20150925T044316Z
ORGANIZER;CN=Jonathan Shi:http://www.cs.cornell.edu/~jshi/brownbag/
DTSTAMP:20260408T173033Z
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