Towards Human Interactive Proofs in the Text-Domainby: Richard Bergmair, Stefan Katzenbeisser
Information Security (2004), pp. 257-267.
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AbstractWe outline the linguistic problem of word-sense ambiguity and demonstrate its relevance to current computer security applications in the context of Human Interactive Proofs (HIPs). Such proofs enable a machine to automatically determine whether it is interacting with another machine or a human. HIPs were recently proposed to fight abuse of web services, denial-of-service attacks and spam. We describe the construction of an HIP that relies solely on natural language and draws its security from the problem of word-sense ambiguity, i.e., the linguistic phenomenon that a word can have different meanings dependent on the context it is used in. Keywords: HIP, CAPTCHA, text, natural language, linguistic, lexical, word-sense ambiguity, learning
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