Comparison of Texts Streams in the Presence of Mild Adversaries
نویسندگان
چکیده
Text sifting is a method of quickly and securely identifying documents for database searching, copy detection, duplicate email detection and plagiarism detection. A small amount of text is extracted from a document using hash functions and is used as the document’s fingerprint. We build upon previous work by Broder et al. [4,5] and Heintze [8], specifically addressing a certain set of attacks that we discovered to be very powerful against previous systems. We achieve robustness against these attacks with a new selection process. We also give theoretical and experimental results for these and other attacks on text sifting functions.
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تاریخ انتشار 2005