Title
Successful attack on permutation-parity-machine-based neural cryptography
Abstract
An algorithm is presented which implements a probabilistic attack on the key-exchange protocol based on permutation parity machines. Instead of imitating the synchronization of the communicating partners, the strategy consists of a Monte Carlo method to sample the space of possible weights during inner rounds and an analytic approach to convey the extracted information from one outer round to the next one. The results show that the protocol under attack fails to synchronize faster than an eavesdropper using this algorithm.
Year
DOI
Venue
2011
10.1103/PhysRevE.85.025101
PHYSICAL REVIEW E
DocType
Volume
Issue
Journal
85
2
ISSN
Citations 
PageRank 
1539-3755
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Luís F. Seoane132.98
Andreas Ruttor2496.43