Referenced Items are not available for this document.
Finding and identifying cryptography is a growing concern in the malware analysis community. In this paper, artificial neural networks are used to classify functional blocks from a disassembled program as being either cryptography related or not. The resulting system, referred to as NNLC (neural net for locating cryptography) is presented and results of applying this system to various libraries are described.
Published in:
Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
Date of Conference: 22-25 Sept. 2009
- Page(s):
- 1 - 4
- ISSN :
- 1946-0759
- E-ISBN :
- 978-1-4244-2728-4
- Print ISBN:
- 978-1-4244-2727-7
- INSPEC Accession Number:
- 11003699
- Conference Location :
- Mallorca
- Digital Object Identifier :
- 10.1109/ETFA.2009.5347226
- Product Type:
- Conference Publications
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