Neural Network Approach to Locating Cryptography in Object Code
Conference
·
OSTI ID:968578
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.
- Research Organization:
- Idaho National Laboratory (INL)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC07-05ID14517
- OSTI ID:
- 968578
- Report Number(s):
- INL/CON-09-15944
- Country of Publication:
- United States
- Language:
- English
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