Towards Human Interactive Proofs in the Text-Domain Export

@incollection{Begmair04, abstract = {We 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}, author = {Bergmair, Richard and Katzenbeisser, Stefan}, citeulike-article-id = {1616897}, citeulike-linkout-0 = {http://www.springerlink.com/content/t8jmdgmttykaq5aj}, journal = {Information Security}, keywords = {captcha, text}, pages = {257--267}, posted-at = {2008-04-28 11:04:05}, priority = {2}, title = {Towards Human Interactive Proofs in the Text-Domain}, url = {http://www.springerlink.com/content/t8jmdgmttykaq5aj}, year = {2004} }

TY - CHAP ID - Begmair04 L3 - citeulike-article-id:1616897 N2 - We 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 JF - Information Security EP - 267 TI - Towards Human Interactive Proofs in the Text-Domain SP - 257 KW - captcha KW - text AU - Bergmair, Richard AU - Katzenbeisser, Stefan PY - 2004/// UR - http://www.springerlink.com/content/t8jmdgmttykaq5aj ER -