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