Proceedings ArticleDOI
Attack-Resistant aiCAPTCHA Using a Negative Selection Artificial Immune System
Brian M. Powell,Ekampreet Kalsy,Gaurav Goswami,Mayank Vatsa,Richa Singh,Afzel Noore +5 more
- pp 41-46
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TLDR
Inspired by the negative selection approach in biological immune systems, an innovative two-phase filtering algorithm is proposed which ensures that the CAPTCHA is resilient to automated attack while remaining easy for human users to solve.Abstract:
The growth of online services has resulted in a great need for tools to secure systems from would-be attackers without compromising the user experience. CAPTCHAs (Completely Automated Public Turing Tests to Tell Computers and Humans Apart) are one tool for this purpose, but their popular text-based form has been rendered insecure by improvements in character recognition technology. In this paper, we propose a novel imagebased CAPTCHA which employs object recognition as its test. Inspired by the negative selection approach in biological immune systems, an innovative two-phase filtering algorithm is proposed which ensures that the CAPTCHA is resilient to automated attack while remaining easy for human users to solve. In extensive testing involving over 3,000 participants, the proposed aiCAPTCHA achieved a 92.0% human success rate.read more
Citations
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Proceedings ArticleDOI
POSTER: DeepCRACk: Using Deep Learning to Automatically CRack Audio CAPTCHAs
William Aiken,Hyoungshick Kim +1 more
TL;DR: This paper presents a neural network that leverages Mozilla's open source implementation of Baidu's Deep Speech architecture and is currently able to solve the audio version of an open-source CATPCHA system (named SimpleCaptcha), with 98.8% accuracy.
Proceedings ArticleDOI
CAPTCHA: Machine or Human Solvers? A Game-Theoretical Analysis
TL;DR: A game theoretical framework is developed to model the interactions between the defender and the attacker regarding the design and countermeasure of CAPTCHA system and suggests a welfare-improving CAPTCHAs business model by involving decentralized cryptocurrency computation.
Journal ArticleDOI
Predicting the popularity of micro-videos via a feature-discrimination transductive model
TL;DR: A feature-discrimination transductive model is presented that divides the micro-videos into different levels of popularity via the attribute features and predicted the popularity scores via the low-level features precisely, and seeks a latent common feature subspace, where themicro-videos can be comprehensively represented.
An enhanced intrusion detection system using honeypot and captcha techniques
TL;DR: HoneyCAPTCHA, an enhanced intrusion detection framework is designed to solve the above problems as it is capable of detecting crawlers’ attacks, resilient and efficient to users.
Book ChapterDOI
FP-Captcha: An Improved Captcha Design Scheme Based on Face Points
TL;DR: A novel face point based Captcha is proposed, which employs various face points detection as its test, where user will ask to click on correct face points of all human faces presented in the Captcha challenge; which comprises of real and fake face images, with balanced noise and distortions, embedded in a composite background.
References
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Proceedings Article
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