DocumentCode :
234941
Title :
Cryptographic Algorithms Analysis Technology Research Based on Functions Signature Recognition
Author :
Rui Chang ; Liehui Jiang ; Hui Shu ; Hongqi He
Author_Institution :
State Key Lab. of Mathematic Eng. & Adv. Comput., MEAC, Zhengzhou, China
fYear :
2014
fDate :
15-16 Nov. 2014
Firstpage :
499
Lastpage :
504
Abstract :
At present, the research on software reverse engineering pays more attention to cryptographic algorithms recognition and analysis. Malwares are becoming increasingly stealthy, more and more malwares are using cryptographic algorithms to protect themselves from being analyzed. There are no mature theory and tools to analyze cryptographic algorithms from the executable files effectively and exactly. In order to solve the problem efficiently, this paper discusses functions signature recognition technology, creating the cryptographic algorithms library including more than 3000 signature characteristics, and explores a way to recognize cryptographic algorithms based on functions signature recognition. Finally, the experiment results indicate the method is effective and feasible.
Keywords :
cryptography; invasive software; pattern recognition; cryptographic algorithms analysis; cryptographic algorithms library; functions signature recognition technology; malwares; Algorithm design and analysis; Character recognition; Ciphers; Feature extraction; Libraries; Software algorithms; cryptographic algorithms recognition; minimum perfect Hash function; signature library;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
Type :
conf
DOI :
10.1109/CIS.2014.20
Filename :
7016946
Link To Document :
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