A B S T R A C T
Bytewise approximate matching is a relatively new area within digital forensics, but its
importance is growing quickly as practitioners are looking for fast methods to analyze the
increasing amounts of data in forensic investigations. The essential idea is to complement
the use of cryptographic hash functions to detect data objects with bytewise identical
representation with the capability to find objects with bytewise similar representations.
Unlike cryptographic hash functions, which have been studied and tested for a long time,
approximate matching ones are still in their early development stages, and have been
evaluated in a somewhat ad-hoc manner. Recently, the FRASH testing framework has been
proposed as a vehicle for developing a set of standardized tests for approximate matching
algorithms; the aim is to provide a useful guide for understanding and comparing the
absolute and relative performance of different algorithms.
The contribution of this work is twofold: a) expand FRASH with automated tests for
quantifying approximate matching algorithm behavior with respect to precision and
recall; and b) present a case study of two algorithms already in useesdhash and ssdeep.
© 2014 Elsevier Ltd. All rights reserved.
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کد محصول : شماره 60
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