TY - JOUR
T1 - Neural cryptography with queries
AU - Ruttor, Andreas
AU - Kinzel, Wolfgang
AU - Kanter, Ido
PY - 2005
Y1 - 2005
N2 - Neural cryptography is based on synchronization of tree parity machines by mutual learning. We extend previous key-exchange protocols by replacing random inputs with queries depending on the current state of the neural networks. The probability of a successful attack is calculated for different model parameters using numerical simulations. The results show that queries restore the security against cooperating attackers. The success probability can be reduced without increasing the average synchronization time.
AB - Neural cryptography is based on synchronization of tree parity machines by mutual learning. We extend previous key-exchange protocols by replacing random inputs with queries depending on the current state of the neural networks. The probability of a successful attack is calculated for different model parameters using numerical simulations. The results show that queries restore the security against cooperating attackers. The success probability can be reduced without increasing the average synchronization time.
KW - Neuronal networks (theory)
KW - New applications of statistical mechanics
KW - Stochastic processes (theory)
UR - http://www.scopus.com/inward/record.url?scp=24144493036&partnerID=8YFLogxK
U2 - 10.1088/1742-5468/2005/01/P01009
DO - 10.1088/1742-5468/2005/01/P01009
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AN - SCOPUS:24144493036
SN - 1742-5468
SP - 193
EP - 206
JO - Journal of Statistical Mechanics: Theory and Experiment
JF - Journal of Statistical Mechanics: Theory and Experiment
IS - 1
ER -