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20022006
most citedStable isochronal synchronization of mutually coupled chaotic lasers

125 citations · 502 across the 8 of their papers we have counts for

collaborators

8 papers

nlin.CD2006★ 30 cited

Synchronization of mutually coupled chaotic lasers in the presence of a shutter

Ido Kanter, Noam Gross, Einat Klein +5

Two mutually coupled chaotic diode lasers exhibit stable isochronal synchronization in the presence of self feedback. When the mutual communication between the lasers is discontinu…

cond-mat.stat-mech2006★ 71 cited

Public-channel cryptography based on mutual chaos pass filters

Einat Klein, Noam Gross, Evi Kopelowitz +4

We study the mutual coupling of chaotic lasers and observe both experimentally and in numeric simulations, that there exists a regime of parameters for which two mutually coupled c…

cond-mat.dis-nn2005★ 125 cited

Stable isochronal synchronization of mutually coupled chaotic lasers

Einat Klein, Noam Gross, Michael Rosenbluh +3

The dynamics of two mutually coupled chaotic diode lasers are investigated experimentally and numerically. By adding self feedback to each laser, stable isochronal synchronization…

cond-mat.dis-nn2005★ 2 cited

A framework for public-channel cryptography using chaotic lasers

Noam Gross, Einat Klein, Michael Rosenbluh +3

Two mutually coupled chaotic diode lasers with individual external feedback, are shown to establish chaos synchronization in the low-frequency fluctuations regime. A third laser wi…

cond-mat.other2004★ 53 cited

Public-channel cryptography using chaos synchronization

Einat Klein, Rachel Mislovaty, Ido Kanter +1

We present a key-exchange protocol that comprises two parties with chaotic dynamics that are mutually coupled and undergo a synchronization process, at the end of which they can us…

cond-mat.dis-nn2003★ 57 cited

Cooperating Attackers in Neural Cryptography

L. N. Shacham, E. Klein, R. Mislovaty +2

A new and successful attack strategy in neural cryptography is presented. The neural cryptosystem, based on synchronization of neural networks by mutual learning, has been recently…