article · Physical Review E · 2004
Cooperating attackers in neural cryptography
Lanir N. Shacham, Einat Klein, Rachel Mislovaty, Ido Kanter, Wolfgang Kinzel
Cited by 57Open access
Abstract
A successful attack strategy in neural cryptography is presented. The neural cryptosystem, based on synchronization of neural networks by mutual learning, has been recently shown to be secure under different attack strategies. The success of the advanced attacker presented here, called the "majority-flipping attacker," does not decay with the parameters of the model. This attacker's outstanding success is due to its using a group of attackers which cooperate throughout the synchronization process, unlike any other attack strategy known. An analytical description of this attack is also presented, and fits the results of simulations.
Cite this paper
Shacham, L. N., Klein, E., Mislovaty, R., Kanter, I., & Kinzel, W. (2004). Cooperating attackers in neural cryptography. Physical Review E, 69(6), 066137. https://doi.org/10.1103/physreve.69.066137
Shacham, Lanir N., et al. “Cooperating attackers in neural cryptography.” Physical Review E, vol. 69, no. 6, 2004, p. 066137, https://doi.org/10.1103/physreve.69.066137.
Shacham, Lanir N., Einat Klein, Rachel Mislovaty, Ido Kanter, and Wolfgang Kinzel. 2004. “Cooperating attackers in neural cryptography.” Physical Review E 69 (6): 066137. https://doi.org/10.1103/physreve.69.066137.
Shacham, L.N. et al. (2004) ‘Cooperating attackers in neural cryptography’, Physical Review E, 69(6), p. 066137. Available at: https://doi.org/10.1103/physreve.69.066137.
@article{shacham2004cooperating,
title = {{Cooperating attackers in neural cryptography}},
author = {Shacham, Lanir N. and Klein, Einat and Mislovaty, Rachel and Kanter, Ido and Kinzel, Wolfgang},
journal = {Physical Review E},
volume = {69},
number = {6},
pages = {066137},
year = {2004},
doi = {10.1103/physreve.69.066137}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.