132 research outputs found
Neural Cryptography
Two neural networks which are trained on their mutual output bits show a
novel phenomenon: The networks synchronize to a state with identical time
dependent weights. It is shown how synchronization by mutual learning can be
applied to cryptography: secret key exchange over a public channel.Comment: 9th International Conference on Neural Information Processing,
Singapore, Nov. 200
Optimum Asymptotic Multiuser Efficiency of Pseudo-Orthogonal Randomly Spread CDMA
A -user pseudo-orthogonal (PO) randomly spread CDMA system, equivalent to
transmission over a subset of single-user Gaussian channels, is
introduced. The high signal-to-noise ratio performance of the PO-CDMA is
analyzed by rigorously deriving its asymptotic multiuser efficiency (AME) in
the large system limit. Interestingly, the -optimized PO-CDMA transceiver
scheme yields an AME which is practically equal to 1 for system loads smaller
than 0.1 and lower bounded by 1/4 for increasing loads. As opposed to the
vanishing efficiency of linear multiuser detectors, the derived efficiency is
comparable to the ultimate CDMA efficiency achieved for the intractable optimal
multiuser detector.Comment: WIC 27th Symposium on Information Theory in the Benelux, 200
Interacting neural networks and cryptography
Two neural networks which are trained on their mutual output bits are
analysed using methods of statistical physics. The exact solution of the
dynamics of the two weight vectors shows a novel phenomenon: The networks
synchronize to a state with identical time dependent weights. Extending the
models to multilayer networks with discrete weights, it is shown how
synchronization by mutual learning can be applied to secret key exchange over a
public channel.Comment: Invited talk for the meeting of the German Physical Societ
An Efficient Joint Source-Channel Decoder with Dynamical Block Priors
An efficient joint source-channel (s/c) decoder based on the side information
of the source and on the MN-Gallager algorithm over Galois fields is presented.
The dynamical block priors (DBP) are derived either from a statistical
mechanical approach via calculation of the entropy for the correlated
sequences, or from the Markovian transition matrix. The Markovian joint s/c
decoder has many advantages over the statistical mechanical approach. In
particular, there is no need for the construction and the diagonalization of a
qXq matrix and for a solution to saddle point equations in q dimensions. Using
parametric estimation, an efficient joint s/c decoder with the lack of side
information is discussed. Besides the variant joint s/c decoders presented, we
also show that the available sets of autocorrelations consist of a convex
volume, and its structure can be found using the Simplex algorithm.Comment: 13 pages, to appear in "Progress in Theoretical Physics Supplement",
May 200
Capacity of Complexity-Constrained Noise-Free CDMA
An interference-limited noise-free CDMA downlink channel operating under a
complexity constraint on the receiver is introduced. According to this
paradigm, detected bits, obtained by performing hard decisions directly on the
channel's matched filter output, must be the same as the transmitted binary
inputs. This channel setting, allowing the use of the simplest receiver scheme,
seems to be worthless, making reliable communication at any rate impossible. We
prove, by adopting statistical mechanics notion, that in the large-system limit
such a complexity-constrained CDMA channel gives rise to a non-trivial
Shannon-theoretic capacity, rigorously analyzed and corroborated using
finite-size channel simulations.Comment: To appear in IEEE Communications Letter
Chaos Synchronization with Dynamic Filters: Two Way is Better Than One Way
Two chaotic systems which interact by mutually exchanging a signal built from
their delayed internal variables, can synchronize. A third unit may be able to
record and to manipulate the exchanged signal. Can the third unit synchronize
to the common chaotic trajectory, as well? If all parameters of the system are
public, a proof is given that the recording system can synchronize as well.
However, if the two interacting systems use private commutative filters to
generate the exchanged signal, a driven system cannot synchronize. It is shown
that with dynamic private filters the chaotic trajectory even cannot be
calculated. Hence two way (interaction) is more than one way (drive). The
implication of this general result to secret communication with chaos
synchronization is discussed
- …