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Nicolas Christin

Researcher at Carnegie Mellon University

Publications -  171
Citations -  11135

Nicolas Christin is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Password & Cognitive password. The author has an hindex of 47, co-authored 163 publications receiving 9640 citations. Previous affiliations of Nicolas Christin include University of New Mexico & University of Virginia.

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Bitcoin: Economics, Technology, and Governance

Rainer Böhme, +3 more
- 15 Jul 2014 - 
TL;DR: In this paper, the authors present the design principles and properties of Bitcoin for a non-technical audience, reviews its past, present and future uses, and points out risks and regulatory issues as Bitcoin interacts with the conventional financial system and real economy.
Journal ArticleDOI

Bitcoin: economics, technology, and governance

Rainer Böhme, +3 more
- 01 Apr 2015 - 
TL;DR: The Bitcoin protocol as mentioned in this paper is an online communication protocol that facilitates the use of virtual currency, including electronic payments, and allows for irreversible transactions, a prescribed path of money creation over time, and a public transaction history.
Proceedings ArticleDOI

Traveling the silk road: a measurement analysis of a large anonymous online marketplace

Nicolas Christin
TL;DR: In this article, the authors performed a comprehensive measurement analysis of Silk Road, an anonymous, international online marketplace that operates as a Tor hidden service and uses Bitcoin as its exchange currency.
Proceedings ArticleDOI

Guess Again (and Again and Again): Measuring Password Strength by Simulating Password-Cracking Algorithms

Patrick Gage Kelley, +8 more
TL;DR: An efficient distributed method is developed for calculating how effectively several heuristic password-guessing algorithms guess passwords, and the relationship between guess ability, as measured with password-cracking algorithms, and entropy estimates is investigated.
Proceedings ArticleDOI

Of passwords and people: measuring the effect of password-composition policies

Saranga Komanduri, +7 more
TL;DR: A large-scale study investigates password strength, user behavior, and user sentiment across four password-composition policies, and describes the predictability of passwords by calculating their entropy, finding that a number of commonly held beliefs about password composition and strength are inaccurate.