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CAPTCHA: using hard AI problems for security

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TLDR
This work introduces captcha, an automated test that humans can pass, but current computer programs can't pass; any program that has high success over a captcha can be used to solve an unsolved Artificial Intelligence (AI) problem; and provides several novel constructions of captchas, which imply a win-win situation.
Abstract
We introduce captcha, an automated test that humans can pass, but current computer programs can't pass: any program that has high success over a captcha can be used to solve an unsolved Artificial Intelligence (AI) problem. We provide several novel constructions of captchas. Since captchas have many applications in practical security, our approach introduces a new class of hard problems that can be exploited for security purposes. Much like research in cryptography has had a positive impact on algorithms for factoring and discrete log, we hope that the use of hard AI problems for security purposes allows us to advance the field of Artificial Intelligence. We introduce two families of AI problems that can be used to construct captchas and we show that solutions to such problems can be used for steganographic communication. captchas based on these AI problem families, then, imply a win-win situation: either the problems remain unsolved and there is a way to differentiate humans from computers, or the problems are solved and there is a way to communicate covertly on some channels.

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Citations
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Proceedings ArticleDOI

How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation

TL;DR: In this paper, a large scale evaluation of captchas from the human perspective is presented, with the goal of assessing how much friction CAPTCHAs present to the average user.

How good are humans at solving captchas a large scale evaluation

TL;DR: Evidence from a week’s worth of eBay captchas suggests that the solving accuracies found in the study are close to real-world values, and that improving audioCaptchas should become a priority, as nearly 1% of all captchAs are delivered as audio rather than images.
Proceedings ArticleDOI

New client puzzle outsourcing techniques for DoS resistance

TL;DR: In this paper, the authors explore new techniques for the use of cryptographic puzzles as a countermeasure to Denial-of-Service (DoS) attacks and propose simple new techniques that permit the out-sourcing of puzzles; their distribution via a robust external service that they call a bastion.
Proceedings Article

Re: CAPTCHAs: understanding CAPTCHA-solving services in an economic context

TL;DR: This work examines the market-side of this question in depth, analyzing the behavior and dynamics of CAPTCHA-solving service providers, their price performance, and the underlying labor markets driving this economy.
Proceedings ArticleDOI

What's up CAPTCHA?: a CAPTCHA based on image orientation

TL;DR: A new CAPTCHA which is based on identifying an image's upright orientation is presented, which is language-independent, does not require text-entry, and employs another domain forCAPTCHA generation beyond character obfuscation.
References
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Journal ArticleDOI

Telling humans and computers apart automatically

TL;DR: In this paper, lazy cryptographers do AI and show how lazy they can be, and how they do it well, and why they do so poorly, and they are lazy.
Proceedings ArticleDOI

Securing passwords against dictionary attacks

TL;DR: The key idea is to efficiently combine traditional password authentication with a challenge that is very easy to answer by human users, but is (almost) infeasible for automated programs attempting to run dictionary attacks.
Patent

Method for selectively restricting access to computer systems

TL;DR: In this paper, a computerized method selectively accepts access requests from a client computer connected to a server computer by a network is proposed, where the server computer receives an access request from the client computer and generates a predetermined number of random characters.
Journal ArticleDOI

Pessimal print: a reverse Turing test

TL;DR: This work proposes a variant of the Turing test using pessimal print: that is, low-quality images of machine-printed text synthesized pseudo-randomly over certain ranges of words, typefaces, and image degradations and shows experimentally that judicious choice of these ranges can ensure that the images are legible to human readers but illegible to several of the best present-day optical character recognition (OCR) machines.
Book ChapterDOI

Provably Secure Steganography

TL;DR: In this article, the authors introduce definitions based on computational indistinguishability and prove that the existence of one-way functions implies secure steganographic protocols, and they also prove that secure protocols can be constructed from a complexity-theoretic point of view.
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