Abstract
Recognizing cryptographic algorithm from the binary codes plays an important role in checking the malicious codes and protecting the security of computer systems. This paper firstly introduces the current situation about the algorithm recognition and characteristic-code checking, makes use of the software reverse-engineering technology in order to extract the characteristic-codes from all kinds of the cryptographic algorithms and builds up the static characteristic database about the cryptographic algorithms. Then the paper introduces Boyer-Moore matching algorithm to design a scanning tool for the cryptographic algorithms, tests its efficiency and discusses the corresponding reliability; finally, the paper points out the developmental direction for algorithm recognition and technologies, which will be adopted in the field of software reverse engineering.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Alias, C.: Program Optimization by Template Recognition and Replacement. University of Versailles Saint-Quentin (2005)
Metzger, R.: Automatic Algorithm Recognition and Replacement. MIT, Cambridge (2003)
Li, J.-z., Jiang, L.-h., Yin, Q.: Cryptogram Algorithm Recognition Technology Based on Bayes Decision-making. Computer Engineering 34(20), 159–163 (2008)
Jin, Q., Wu, G.-x., Li, D.: Research of anti-virus engine and automatic extraction of computer virus signatures. Computer Engineering and Design 28(24) (2007)
Chen, H.-w., Liu, C.-l.: Principle of Compiling. National Defense Industry Press, Beijing (2000)
Cifuentes, C.: Reverse Compilation Techniques. Queensland University (1994)
Wu, S.-z., Zhu, S.-x.: Applied Cryptography. China Machine Press, Beijing (2000)
Harvey, I.: Cipher Hunting: How To Find Cryptographic Algorithms In Large Binaries. nCipher Corporation Ltd. (2001)
Li, H.-d., Yao, T.-x.: Pattern Classification. China Machine Press, Beijing (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, TM., Jiang, Lh., He, Hq., Li, Jz., Yu, X. (2009). Researching on Cryptographic Algorithm Recognition Based on Static Characteristic-Code. In: Ślęzak, D., Kim, Th., Fang, WC., Arnett, K.P. (eds) Security Technology. SecTech 2009. Communications in Computer and Information Science, vol 58. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10847-1_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-10847-1_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10846-4
Online ISBN: 978-3-642-10847-1
eBook Packages: Computer ScienceComputer Science (R0)