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Hybrid Method to Analyze Cryptography in Software

Authors: Li Ji-Zhong; Jiang Lie-Hui; Yin Qing; Xie Yao-Bin;

Hybrid Method to Analyze Cryptography in Software

Abstract

Cryptography reversing of software has playing an important role in malware detecting and vulnerability mining recently. This paper has proposed a four-level cryptography reversing model which contains crypto algorithms recognition, crypto mechanism reversing, wrong/weak implement, vulnerability mining. Both dynamic and static analysis technology takes its shortage, for solving this problem, we have brought forward a hybrid method based on the assumption that static disassemble result is correct, and have studied the density of arithmetic and bit wise operation, crypto dynamic constants and entropy value of memory operation data to filter the cryptography primitives.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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