Permutation parity machines for neural cryptography
Journal Article
·
· Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print)
- Institute of Computer Technology, Hamburg University of Technology, D-21071 Hamburg (Germany)
Recently, synchronization was proved for permutation parity machines, multilayer feed-forward neural networks proposed as a binary variant of the tree parity machines. This ability was already used in the case of tree parity machines to introduce a key-exchange protocol. In this paper, a protocol based on permutation parity machines is proposed and its performance against common attacks (simple, geometric, majority and genetic) is studied.
- OSTI ID:
- 21362162
- Journal Information:
- Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print), Journal Name: Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print) Journal Issue: 6 Vol. 81; ISSN 1539-3755
- Country of Publication:
- United States
- Language:
- English
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