Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
The roots of backpropagation: from ordered derivatives to neural networks and political forecasting
The roots of backpropagation: from ordered derivatives to neural networks and political forecasting
Handbook of Applied Cryptography
Handbook of Applied Cryptography
Peer-to-peer botnets: overview and case study
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
A case study of the rustock rootkit and spam bot
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
Opcodes as predictor for malware
International Journal of Electronic Security and Digital Forensics
Reverse-engineering a cryptographic RFID tag
SS'08 Proceedings of the 17th conference on Security symposium
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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.