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Stringlish: improved English string searching in binary files
Author(s) -
Aycock J.
Publication year - 2015
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.2327
Subject(s) - string (physics) , binary number , computer science , false positive paradox , theoretical computer science , mathematics , artificial intelligence , physics , arithmetic , theoretical physics
Summary When analyzing binary files, printable strings are easy to find, but a naïve approach yields a large number of false positives: ‘uninteresting’ string‐like sequences that occur by chance in the binary. We present a lightweight yet surprisingly effective method of filtering printable strings for English or English‐like sequences. Copyright © 2015 John Wiley & Sons Ltd.