A New Approach to Breaking Down Chaotic Secure Communication

2003 ◽  
Vol 13 (09) ◽  
pp. 2689-2698 ◽  
Author(s):  
Chao Tao ◽  
Gonghuan Du
Keyword(s):  
Fixed Point ◽  
Chaotic Attractor ◽  
Secure Communication ◽  
Time Varying ◽  
Generalized Synchronization ◽  
Stable Fixed Point ◽  
Chaotic Communication ◽  
New Approach ◽  
System Parameters ◽  
Chaotic Secure Communication

In this paper, we propose the time-varying stable fixed point concept to advance the generalized synchronization and present a general approach to calculating the value of chaotic system parameters according to some signal data. It provides a new approach to studying an unknown chaotic attractor and unmask the chaotic communication. We break down two chaotic communication schemes as examples with this approach.

CHANNEL-INDEPENDENT CHAOTIC SECURE COMMUNICATION

1996 ◽  
Vol 06 (12b) ◽  
pp. 2653-2660 ◽  
Author(s):  
TAO YANG ◽  
LEON O. CHUA
Keyword(s):  
Secure Communication ◽  
Chaotic Systems ◽  
Generalized Synchronization ◽  
Chaotic Secure Communication ◽  
Theoretical Results

The generalized synchronization (GS) of two identical chaotic systems through an unknown channel is studied. First, some theoretical results of GS through an unknown channel are derived. Finally, an application of GS to channel-independent chaotic secure communication is presented.

scholarly journals Chaotic Attractor Generation via a Simple Linear Time-Varying System

2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Baiyu Ou ◽  
Desheng Liu
Keyword(s):  
Lyapunov Exponent ◽  
Chaotic Attractor ◽  
Linear Time ◽  
Three Dimensional ◽  
Underlying Mechanism ◽  
Largest Lyapunov Exponent ◽  
Time Varying ◽  
System Parameters ◽  
The Largest Lyapunov Exponent ◽  
Suitable System

A novel generation method of chaotic attractor is introduced in this paper. The underlying mechanism involves a simple three-dimensional time-varying system with simple time functions as control inputs. Moreover, it is demonstrated by simulation that various attractor patterns are generated conveniently by adjusting suitable system parameters. The largest Lyapunov exponent of the system has been obtained.

scholarly journals Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 254
Author(s):  
Ali Akbar Kekha Javan ◽  
Afshin Shoeibi ◽  
Assef Zare ◽  
Navid Hosseini Izadi ◽  
Mahboobeh Jafari ◽  
...  
Keyword(s):  
Secure Communication ◽  
Chaotic Systems ◽  
Control Function ◽  
Robust Adaptive Control ◽  
Control Procedure ◽  
Time Varying ◽  
System Parameters ◽  
Time Varying Delay ◽  
Robust Adaptive ◽  
Synchronization Scheme

In this paper, the multi-state synchronization of chaotic systems with non-identical, unknown, and time-varying delay in the presence of external perturbations and parametric uncertainties was studied. The presence of unknown delays, unknown bounds of disturbance and uncertainty, as well as changes in system parameters complicate the determination of control function and synchronization. During a synchronization scheme using a robust-adaptive control procedure with the help of the Lyapunov stability theorem, the errors converged to zero, and the updating rules were set to estimate the system parameters and delays. To investigate the performance of the proposed design, simulations have been carried out on two Chen hyper-chaotic systems as the slave and one Chua hyper-chaotic system as the master. Our results showed that the proposed controller outperformed the state-of-the-art techniques in terms of convergence speed of synchronization, parameter estimation, and delay estimation processes. The parameters and time delays were achieved with appropriate approximation. Finally, secure communication was realized with a chaotic masking method, and our results revealed the effectiveness of the proposed method in secure telecommunications.

Design and SOPC-Based Realization of a Video Chaotic Secure Communication Scheme

2018 ◽  
Vol 28 (13) ◽  
pp. 1850160 ◽  
Author(s):  
Ping Chen ◽  
Simin Yu ◽  
Baoju Chen ◽  
Liangshan Xiao ◽  
Jinhu Lü
Keyword(s):  
Real Time ◽  
Secure Communication ◽  
Security Analysis ◽  
New Approach ◽  
Time Performance ◽  
Hardware Realization ◽  
Communication Scheme ◽  
Chaotic Secure Communication

This paper proposes a new approach for hardware realization based on a system with programmable chip (SOPC) technology. The main feature of the SOPC-based scheme is that it can make full use of both FPGA and ARM, where the FPGA is used for video capturing, displaying, encrypting and decrypting, the ARM is adopted for TCP/IP protocol, Ethernet sending and receiving. SOPC technology gives full play to the advantages of both FPGA and ARM that complement each other, leading to better real-time performance and is more convenient for hardware realization. In addition, some results of security analysis are also given. Hardware realization results verify the feasibility and effectiveness of the proposed SOPC-based approach.

Estimation of the Stable Fixed Point of Passive Dynamic Walking with BP Neural Network

ROBOT ◽  
2010 ◽  
Vol 32 (4) ◽  
pp. 478-483 ◽  
Author(s):  
Xiuhua NI ◽  
Weishan CHEN ◽  
Junkao LIU ◽  
Shengjun SHI
Keyword(s):  
Neural Network ◽  
Fixed Point ◽  
Bp Neural Network ◽  
Stable Fixed Point ◽  
Dynamic Walking ◽  
Passive Dynamic Walking

scholarly journals Adaptive Stochastic Filtration Based on the Estimation of the Covariance Matrix of Measurement Noises Using Irregular Accurate Observations

Inventions ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 10
Author(s):  
Sergey Sokolov ◽  
Arthur Novikov ◽  
Marianna Polyakova
Keyword(s):  
Covariance Matrix ◽  
Adaptive Estimation ◽  
Observation System ◽  
Mobile Object ◽  
New Approach ◽  
Measurement Systems ◽  
System Parameters ◽  
Traditional Scheme ◽  
Adaptive Filtration ◽  
Measurement Noises

In measurement systems operating under various disturbances the probabilistic characteristics of measurement noises are usually known approximately. To improve the observation accuracy, a new approach to the Kalman’s filter adaptation is proposed. In this approach, the Covariance Matrix of Measurement Noises (CMMN) is estimated by accurate measurements detected irregularly by the mobile object observation system (from radiofrequency identifiers, etalon reference, fixed points etc.). The problem of adaptive estimation of the observer’s noises covariance matrix in the Kalman filter is solved analytically for two cases: mutual noises correlation, and its absence. The numerical example for adaptive filtration of complexing navigation system parameters of a mobile object using irregular accurate measurements is given to illustrate the effectiveness of the proposed algorithm. Coordinate estimating errors have changed in comparison with the traditional scheme from 100 m to 2 m in latitude, and from 200 m to 1.5 m in longitude.

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