Titlebook: Human Interactive Proofs; Second International Henry S. Baird,Daniel P. Lopresti Conference proceedings 2005 Springer-Verlag Berlin Heidelb

龍蝦

虛假

多骨

Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs)tended for humans. However, there is a co-evolutionary arms race in progress and these proofs are becoming more difficult for genuine users while attackers are getting better at breaking existing HIPs. We studied various popular HIPs on the internet to understand their strength and human friendlines

搬運(yùn)工

A Highly Legible CAPTCHA That Resists Segmentation Attacksled in [BR05], these ‘ScatterType’ challenges are images of machine-print text whose characters have been pseudorandomly cut into pieces which have then been forced to drift apart. This scattering is designed to repel automatic segment-then-recognize computer vision attacks. We report results from a

Charitable

方便

muscle-fibers

Collaborative Filtering CAPTCHAslaborative filtering. Collaborative filtering CAPTCHAs allow us to ask questions that have no absolute answer; instead, the CAPTCHAs are graded by comparison to other people’s answers. We analyze the security requirements of collaborative filtering CAPTCHAs and find that although they are not ready

無(wú)王時(shí)期,

CAPTCHA Generation as a Web ServiceCAPTCHA generation is well suited to a web services approach, particularly one powered by open-source code, and discuss techniques for using such a service to protect weblogs from comment spam attacks..We describe the captchservice.org API by example, and detail the workings of the two image-distort

Exposure

Chivalrous