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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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Book ChapterDOI

Combating spam and denial-of-service attacks with trusted puzzle solvers

TL;DR: This work proposes the use of Trusted Computing in constructing crypto puzzles that only require each client machine to be equipped with a small tamper-resistant Trusted Puzzle Solver (TPS), which may be realized using the prevalent Trusted Platform Module (TPM) with minimal modifications.
Journal ArticleDOI

An investigation of the usability of image-based CAPTCHAs using PROMETHEE-GAIA method

TL;DR: A comparative analysis of seven image-based CAPTCHAs based on three different criteria: time to find a solution, a number of attempts, and task difficulty suggested which CAPTCHA offered better human accuracy and lower machine attack rates compared to the existing approaches.
Journal ArticleDOI

Cylindrical Coordinates Security Visualization for multiple domain command and control botnet detection

TL;DR: An in-depth investigation on the issue of botnet detection and a new security visualization tool for visualizing botnet behaviors on DNS traffic is presented, developed with the objective of enabling users to recognize security threats promptly and mitigate the damages by only visualizing DNS traffic in cylindrical coordinates.
Proceedings Article

Captchas With a Purpose.

TL;DR: This paper develops some new Captchas belonging to genre — “CAPTCHAs with a purpose” which have range of other useful purpose such as measuring reaction time of people, promoting news, general knowledge facts, jokes among people while engaging in routine activities such as checking email.
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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