Ido Kanter

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F eb 2 00 2 Secure exchange of information by synchronization of neural networks

Ido Kanter, Wolfgang Kinzel, Eran Kanter
2002

A connection between the theory of neural networks and cryptography is presented. A new phenomenon, namely synchronization of neural networks is leading to a new method of exchange of secret… (More)

Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics

Ori Shental, Noam Shental, Shlomo Shamai, Ido Kanter, Anthony J. Weiss, Yair Weiss
IEEE Transactions on Information Theory
2008

Discrete-input two-dimensional (2D) Gaussian channels with memory represent an important class of systems, which appears extensively in communications and storage. In spite of their widespread use,… (More)

Ultrahigh-speed random number generation based on a chaotic semiconductor laser.

Igor Reidler, Yaara Aviad, Michael Rosenbluh, Ido Kanter
Physical review letters
2009

The fluctuating intensity of a chaotic semiconductor laser is used for generating random sequences at rates up to 12.5 Gbits/s. The conversion of the fluctuating intensity to a random bit sequence… (More)

Secure key-exchange protocol with an absence of injective functions.

Rachel Mislovaty, Y Perchenok, Ido Kanter, Wolfgang Kinzel
Physical review. E, Statistical, nonlinear, and…
2002

The security of neural cryptography is investigated. A key-exchange protocol over a public channel is studied where the parties exchanging secret messages use multilayer neural networks which are… (More)

Cooperating attackers in neural cryptography.

Lanir Naftaly Shacham, Einat Klein, Rachel Mislovaty, Ido Kanter, Wolfgang Kinzel
Physical review. E, Statistical, nonlinear, and…
2004

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… (More)

Synchronization of neural networks by mutual learning and its application to cryptography

Einat Klein, Rachel Mislovaty, Ido Kanter, Andreas Ruttor, Wolfgang Kinzel
NIPS
2004

Two neural networks that are trained on their mutual output synchronize to an identical time dependant weight vector. This novel phenomenon can be used for creation of a secure cryptographic… (More)

Neural cryptography with feedback.

Andreas Ruttor, Wolfgang Kinzel, Lanir Naftaly Shacham, Ido Kanter
Physical review. E, Statistical, nonlinear, and…
2004

Neural cryptography is based on a competition between attractive and repulsive stochastic forces. A feedback mechanism is added to neural cryptography which increases the repulsive forces. Using… (More)

Ju n 19 99 Error-Correcting Codes That Nearly Saturate Shannon ’ s Bound

Ido Kanter, David Saad
2002

Efficient information transmission plays a central role in modern society, taking a variety of forms, from telephone and satellite communication to storing and retrieving information on disk-drives.… (More)

Genetic attack on neural cryptography.

Andreas Ruttor, Wolfgang Kinzel, Rivka Naeh, Ido Kanter
Physical review. E, Statistical, nonlinear, and…
2006

Different scaling properties for the complexity of bidirectional synchronization and unidirectional learning are essential for the security of neural cryptography. Incrementing the synaptic depth of… (More)

Mutual learning in a tree parity machine and its application to cryptography.

Michal Rosen-Zvi, Einat Klein, Ido Kanter, Wolfgang Kinzel
Physical review. E, Statistical, nonlinear, and…
2002

Mutual learning of a pair of tree parity machines with continuous and discrete weight vectors is studied analytically. The analysis is based on a mapping procedure that maps the mutual learning in… (More)

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