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Chaotic Secure Communication: Principles and Technologies [Kõva köide]

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  • Formaat: Hardback, 346 pages, kõrgus x laius: 240x170 mm, kaal: 772 g, 227 Illustrations, black and white; 26 Tables, black and white
  • Ilmumisaeg: 26-Sep-2016
  • Kirjastus: De Gruyter
  • ISBN-10: 3110426889
  • ISBN-13: 9783110426885
Teised raamatud teemal:
Chaotic Secure Communication: Principles and TechnologiesSuurem pilt
  • Formaat: Hardback, 346 pages, kõrgus x laius: 240x170 mm, kaal: 772 g, 227 Illustrations, black and white; 26 Tables, black and white
  • Ilmumisaeg: 26-Sep-2016
  • Kirjastus: De Gruyter
  • ISBN-10: 3110426889
  • ISBN-13: 9783110426885
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783110426885.html
Märksõnad:
The monograph begins with a systematic introduction of chaos and chaos synchronization, and then extends to the methodologies and technologies in secure communication system design and implementation. The author combines theoretical frameworks with empirical studies, making the book a pratical reference for both academics and industrial engineers.
1 Introduction
1(20)
1.1 Linear, Nonlinear, and Chaos
1(1)
1.2 Development of Chaos
2(2)
1.3 Famous Scientists and Important Events
4(5)
1.3.1 Lorenz and Butterfly Effect
4(1)
1.3.2 Li Tien-Yien and the Concept of Chaos
5(1)
1.3.3 Feigenbaum and Feigenbaum Constant
6(1)
1.3.4 Leon Ong Chua and Chua's Circuit
7(1)
1.3.5 Guanrong Chen and Chen's Attractor
8(1)
1.4 Definition and Characteristics of Chaos
9(1)
1.5 Overview of Chaos Synchronization Method
10(5)
1.5.1 Chaos Synchronization Methods and Characteristics
11(3)
1.5.2 Other Synchronization Methods and Problems
14(1)
1.6 Summary of Chaos Secure Communication
15(3)
1.6.1 Chaotic Analog Communication
16(1)
1.6.2 Chaotic Digital Communication
16(1)
1.6.3 Encryption Communication based on Chaotic Sequence
17(1)
1.7 Chaos Research Methods and Main Research Contents
18(3)
Questions
20(1)
2 Characteristic Analysis Methods for Nonlinear System
21(20)
2.1 Phase Diagram Analysis Method
21(1)
2.2 Power Spectral Analysis Method
22(2)
2.3 Poincare Section Method
24(1)
2.4 Lyapunov Characteristic Exponent Method
25(5)
2.4.1 Definition of Lyapunov Characteristic Exponent
25(2)
2.4.2 Lyapunov Exponent Spectrum
27(1)
2.4.3 Physical Meaning of Lyapunov Exponent
27(2)
2.4.4 Condition Lyapunov Exponent
29(1)
2.5 Fractal Dimension Analysis Method
30(1)
2.6 0--1 Test Method
30(3)
2.6.1 0--1 Test Algorithm
30(2)
2.6.2 Improved 0--1 Test Algorithm
32(1)
2.6.3 Application of 0--1 Test Algorithm
33(1)
2.7 Dividing Frequency Sampling Method
33(1)
2.8 Pseudo-Phase Space Method
34(1)
2.9 Complexity Measure Algorithm
35(6)
2.9.1 Spectral Entropy Complexity Algorithm
36(2)
2.9.2 Co Complexity Algorithm
38(2)
Questions
40(1)
3 Typical Chaotic Systems
41(25)
3.1 Discrete-Time Chaotic Map
41(6)
3.1.1 Logistic Map
41(3)
3.1.2 Tent Map
44(1)
3.1.3 Henon Map
44(2)
3.1.4 Tangent Delay-Ellipse Reflecting Cavity System Map
46(1)
3.2 Continuous-Time Chaotic System
47(15)
3.2.1 Duffing Oscillator
48(1)
3.2.2 van der Pol Oscillator
49(1)
3.2.3 Lorenz System
49(1)
3.2.4 Rossler System
50(1)
3.2.5 Chua's Circuit
51(4)
3.2.6 Chen System
55(1)
3.2.7 LU System
55(2)
3.2.8 Unified Chaotic System
57(2)
3.2.9 Simplified Lorenz System
59(3)
3.2.10 Standard for a New Chaotic System
62(1)
3.3 Hyperchaotic System
62(4)
3.3.1 Rossler Hyperchaotic System
62(1)
3.3.2 Chen Hyperchaotic System
63(1)
3.3.3 Folded Towel Hyperchaotic Map
64(1)
Questions
65(1)
4 Chaotic Synchronization Principle and Method
66(59)
4.1 Definition of Chaos Synchronization
66(1)
4.2 Performance Index of Chaotic Synchronization System
67(2)
4.3 Principle and Performance of Feedback Control Synchronization
69(15)
4.3.1 Multivariable drive feedback synchronization for chaotic system
69(4)
4.3.2 Linear and Nonlinear Feedback Synchronization for Discrete Chaotic System
73(11)
4.4 Parameter Adaptive Synchronization Based on Pecora--Carroll Synchronization Criterion
84(4)
4.4.1 Principle for Adaptive Synchronization
84(1)
4.4.2 Choose Control Law and Control Parameters
85(1)
4.4.3 Determine the Boundary and Range of the Control Constant
86(1)
4.4.4 Simulation Results and Discussion
87(1)
4.5 Adaptive Synchronization Control Based on Lyapunov Stable Theory
88(6)
4.5.1 Adaptive Synchronization Control with Certain Parameter
88(3)
4.5.2 Adaptive Synchronization Control with Uncertain Parameters
91(3)
4.6 Intermittent Feedback Synchronization Control
94(5)
4.6.1 Intermittent Synchronization Control between Different Systems
94(3)
4.6.2 Synchronization Simulation and Performance Analysis
97(2)
4.7 Synchronization Control Based on State Observer Method
99(5)
4.7.1 Design Principle of State Observer
99(2)
4.7.2 Design of State Observer for Unified Chaotic System
101(1)
4.7.3 Simulation and Discussion
101(3)
4.8 Chaos Synchronization Based on Chaos Observer
104(4)
4.8.1 Design Principle of Chaos Observer
104(1)
4.8.2 Chaos Observer of the Unified Chaotic System
105(1)
4.8.3 Synchronization Simulation and Performance Analysis
106(2)
4.9 Projective Synchronization
108(15)
4.9.1 Principle and Simulation of Proportional Projection Synchronization
109(4)
4.9.2 Principle and Simulation of Function Projective Synchronization
113(3)
4.9.3 Principle and Simulation of the Adaptive Function Projective Synchronization
116(7)
4.10 Problems and Development of Chaos Synchronization
123(2)
Questions
124(1)
5 Secure Communication Technology Based on Chaos Synchronization
125(39)
5.1 Chaotic Masking Communication
125(5)
5.2 Chaos Shift Keying Communication
130(15)
5.2.1 COOK Communication
131(1)
5.2.2 CSK Communication
132(5)
5.2.3 DCSK Communication
137(2)
5.2.4 FM-DCSK Communication
139(1)
5.2.5 QCSK Communication
140(5)
5.3 Chaos Parameter Modulation
145(3)
5.4 Chaotic Spread Spectrum Communication
148(16)
5.4.1 Principle of Chaotic DS/SS Communication
148(2)
5.4.2 Generation of Chaotic Spread Spectrum Code
150(2)
5.4.3 Simulation Module Design of Multiuser Chaotic Spread Spectrum System
152(6)
5.4.4 Design and Simulation of Multiuser Chaotic Spread Spectrum System Based on Rake Receiver
158(1)
5.4.5 Performance Analysis of Multiuser Chaotic Spread Spectrum System Based on Rake Receiver
159(4)
Questions
163(1)
6 Data Encryption Based on Chaotic Sequence
164(42)
6.1 Chaos Cryptography
164(4)
6.1.1 Traditional Cryptography
164(2)
6.1.2 Relationship between Chaos Cryptography and Traditional Cryptography
166(1)
6.1.3 Principle of Chaos Sequence Encryption
167(1)
6.2 Data Encryption Algorithm Based on Chaotic Sequence
168(8)
6.2.1 Basic Requirements of Chaotic Encryption Algorithm
168(2)
6.2.2 Logistic Map and Its Statistics
170(1)
6.2.3 Chaotic Encryption Model and Algorithm
170(2)
6.2.4 Implement of Encryption Algorithm Based on Chaotic Sequence
172(3)
6.2.5 System Performance Analysis
175(1)
6.3 Binary Watermark Image Encryption Algorithm Based on Chaos
176(6)
6.3.1 Improvement of Chaotic Pseudo-Random Sequence Generator
178(1)
6.3.2 Binary Watermark Image Encryption Algorithm Based on TD-ERCS Map
178(1)
6.3.3 Performance Analysis of Encryption Algorithm
179(3)
6.4 Color Image Watermarking Algorithm Based on Chaotic Map and Wavelet Transform
182(14)
6.4.1 Wavelet Transformation Algorithm and Its Application
183(3)
6.4.2 Design and Implementation of Watermark Embedding and Extraction Algorithm
186(4)
6.4.3 Simulation and Performance Analysis
190(6)
6.5 Chaotic Image Encryption Algorithm
196(10)
6.5.1 Chaos-Based Image Encryption Technology
196(3)
6.5.2 A New Chaotic Image Encryption Scheme
199(6)
Questions
205(1)
7 Audio and Video Chaotic Encryption and Communication Technology
206(32)
7.1 Principle of Real-Time Voice Encryption Communication
206(4)
7.1.1 Principle of Digital Encryption Communication System
206(2)
7.1.2 Real-Time Voice Encryption and Communication System
208(1)
7.1.3 Cipher Synchronization Technology
209(1)
7.2 Real-Time Data Stream Encryption Algorithm
210(6)
7.2.1 3DES Encryption Algorithm
210(1)
7.2.2 Encryption Algorithm Based on 3DES and Chaotic Map
211(2)
7.2.3 Network Synchronization Method
213(2)
7.2.4 Security Analysis of Real-Time Voice Encryption System
215(1)
7.3 Realization of Real-Time Voice Encryption System
216(8)
7.3.1 Structure of Real-Time Voice Encryption System
216(2)
7.3.2 Real-Time Transmission Protocol and Its Data Structure
218(2)
7.3.3 Implementation of RTP Based on Adaptive Communication Environment
220(2)
7.3.4 System Debugging and Performance Testing
222(2)
7.4 MPEG Video Encryption Algorithm Based on Chaotic Sequence
224(8)
7.4.1 Encryption Principle and Procedure of MPEG Video Data
225(1)
7.4.2 Design of Stream Cipher Based on Chaos
226(3)
7.4.3 Design of Scrambling Algorithm Based on Chaos
229(1)
7.4.4 Encryption Experiment and Encryption Effect Analysis
229(1)
7.4.5 Performance Analysis of MPEG Video Encryption System
230(2)
7.5 H.264 Video Encryption Algorithm Based on Chaos
232(6)
7.5.1 Chaotic Stream Cipher Based on Tangent Delay-Ellipse Reflecting Cavity System
233(1)
7.5.2 H.264 Video Encryption Scheme
233(3)
7.5.3 Performance Analysis of Video Encryption
236(1)
Questions
237(1)
8 Analysis and Simulation of Fractional-Order Chaotic System
238(36)
8.1 Development of Fractional-Order Chaotic System
238(3)
8.2 Definition and Physical Meaning of Fractional Calculus
241(2)
8.3 Solution Methods of Fractional-Order Chaotic System
243(8)
8.3.1 Frequency Domain Method for Solving Fractional-Order Chaotic System
243(4)
8.3.2 Time Domain Method for Solving Fractional-Order Chaotic System
247(4)
8.4 Simulation Method for Fractional-Order Chaotic System
251(8)
8.4.1 Dynamic Simulation Method for Fractional-Order Chaotic System
251(2)
8.4.2 Circuit Simulation Method of Fractional-Order Chaotic System
253(3)
8.4.3 Numerical Simulation Method of Fractional-Order Chaotic System
256(2)
8.4.4 Comparison of Simulation Methods
258(1)
8.5 Dynamics of Fractional-Order Unified System Based on Frequency Domain Method
259(7)
8.5.1 Fractional-Order Unified Chaotic System Mode
259(1)
8.5.2 Dynamic Simulation of Fractional-Order Unified Chaotic System
260(1)
8.5.3 Dynamics of Fractional-Order Unified System with Fixed Parameter
261(3)
8.5.4 Dynamics of Fractional-Order Unified System with Different Parameter
264(2)
8.6 Dynamics of Fractional-Order Diffusionless Lorenz System Based on Time Domain Method
266(8)
8.6.1 Fractional-Order Diffusionless Lorenz System Model
266(1)
8.6.2 Chaotic Characteristic of Fractional-Order Diffusionless Lorenz System
267(1)
8.6.3 Bifurcation Analysis with Varying System Parameter R
268(1)
8.6.4 Bifurcation Analysis with Varying Fractional Order q
269(1)
8.6.5 Bifurcations with Different Fractional Order
270(2)
Questions
272(2)
9 Simulation and Hardware Implementation of Chaotic System
274(21)
9.1 Dynamic Simulation of Chaotic System
274(2)
9.1.1 Dynamic Simulation Steps on Simulink
274(2)
9.1.2 Simulation Result Analysis and Performance Improvement
276(1)
9.2 Circuit Simulation of Chaotic System
276(1)
9.3 Design of Chaotic Analog Circuit
277(5)
9.3.1 Procedure of Chaotic Circuit Design
277(2)
9.3.2 Modular Design of Chaotic Circuit
279(1)
9.3.3 Basic Components of Chaotic Circuit
279(3)
9.4 Improved Modular Design of Chaotic Circuit
282(5)
9.4.1 Design of Multiscroll Jerk Circuit Based on OA
283(1)
9.4.2 Design of Multiscroll Jerk Circuit Based on CC
283(3)
9.4.3 Multiscroll Jerk Circuit Implementation
286(1)
9.5 Digital Signal Processor Design and Implementation of Chaotic Systems
287(8)
9.5.1 DSP Experimental Platform of Chaotic System
287(3)
9.5.2 DSP Implementation of Integer-Order Chaotic System
290(2)
9.5.3 DSP Implementation of Fractional-Order Chaotic System
292(2)
Questions
294(1)
Appendix A Important Academic Journals in the Field of Chaos
295(1)
Appendix B Matlab Source Programs of Chaos Characteristic Analysis
296(27)
B.1 Mode of the Simplified Lorenz System
296(1)
B.2 Programs about Characteristic Analysis of Integer-Order Simplified Lorenz System
297(11)
B.2.1 Simulation Codes for Matlab Toolbox with Runge--Kutta Algorithm
297(1)
B.2.2 Solution Based on Euler and Runge--Kutta Algorithm
297(3)
B.2.3 Program of Calculating LE
300(3)
B.2.4 Program of Calculating the Maximum LE
303(1)
B.2.5 Program for Calculating Bifurcation Diagram
304(1)
B.2.6 Program for Plotting Poincare Section
305(2)
B.2.7 Program for 0--1 Test
307(1)
B.3 Solution Program for the Fraction-Order Simplified Lorenz System
308(8)
B.3.1 Solution Program Based on Predictor-Corrector Approach
308(1)
B.3.2 Solution Program Based on Adomian Decomposition Approach
309(3)
B.3.3 Analysis Program of Complexity and Chaos Diagram
312(4)
B.4 Simulation of Chaotic Synchronization
316(7)
B.4.1 Drive-Response Synchronization
316(2)
B.4.2 Coupling Synchronization
318(2)
B.4.3 Tracking Synchronization
320(3)
References 323(8)
Index 331
Kehui Sun, Central South University, Changsha, China