Application of neural networks to unmasking chaotic secure communication

DOI10.1016/S0167-2789(98)00199-7zbMath1016.82029OpenAlexW2049249892MaRDI QIDQ1809429

Chun-Mei Yang, Tao Yang, Lin-Bao Yang

Publication date: 24 August 2003

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-2789(98)00199-7

zbMATH Keywords

Lorenz systemsingle-layer neural networksChua's circuitspectrogramschaotic shift keyingchaotic switching

Mathematics Subject Classification ID

Cryptography (94A60) Dynamical systems in control (37N35) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Related Items (13)

COMPUTATIONAL VERB SYSTEMS: VERB SETS ⋮ Quasi-synchronization of heterogeneous neural networks with distributed and proportional delays via impulsive control ⋮ Improving the security of chaotic encryption by using a simple modulating method ⋮ Shape synchronization control for three-dimensional chaotic systems ⋮ A zero-crossing approach to uncover the mask by chaotic encryption with periodic modulation ⋮ CRYPTANALYSIS OF FRIDRICH'S CHAOTIC IMAGE ENCRYPTION ⋮ Decoding Digital Information from the Cascaded Heterogeneous Chaotic Systems ⋮ DIGITAL SPEECH COMMUNICATION BY TRUNCATED CHAOTIC SYNCHRONIZATION ⋮ Secure digital communication using controlled projective synchronisation of chaos ⋮ A New Approach to Breaking Down Chaotic Secure Communication ⋮ Computational verb systems: Computing with perceptions of dynamics ⋮ Heterogeneous chaotic systems based cryptography ⋮ Security analysis of chaotic communication systems based on Volterra--Wiener--Korenberg model

Cites Work

• HYPERCHAOTIC ATTRACTORS OF UNIDIRECTIONALLY-COUPLED CHUA’S CIRCUITS
• STEPS TOWARD UNMASKING SECURE COMMUNICATIONS
• TRANSMISSION OF DIGITAL SIGNALS BY CHAOTIC SYNCHRONIZATION
• UNMASKING A MODULATED CHAOTIC COMMUNICATIONS SCHEME
• Recovery of digital signals from chaotic switching
• Deterministic Nonperiodic Flow

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