Chaos Technology In Modern Security Communication Technology Application And Essential Engineering Research

Chaos is a product of the combination of modern science and modern technology especially the computer technology, in recent decades, the new developing subject which develops rapidly in theoretical concept and practical application has penetrated into every subject and field. Along with computer technology, information technology and communication swift and violent development, specially related information foundation structure (information superhighway information superhighway) the concept and construction plan proposing, is forming gradually take the computer as in the core huge information network world scope, the traditional privacy communication method already could not satisfy the people to the communication security performance request. In this kind of situation, the people are urgent need to seek the new privacy communication method to guarantee the network the security. Because the chaos privacy communication has timeliness to be strong, the security performance higher merit, demonstrated he has the formidable vitality in the privacy communication domain. Simply saying, chaotic theory is an important branch of non-linear theory and also an important component of modern non-linear theory. Chaotic system can produce instable, pseudo-random, uncertainly but boundary behaviors, and it is sensitive to its initial conditions. With few numbers of adjustable parameters in a narrow range, the existing available systems and models that can generate chaotic sequences are infinite. So in this paper sine map is proposed, and complex dynamic behaviors can be obtained because of its non-linear property. The Lyapunov exponent is also computed and analyzed. Based on the structure characters of the close-loop BP neural network, we introduce sine map into the hidden layer of the network, select appropriate weight values, chaos will be gained at the output layer. Since any bounded non-linear function can be represented by Fourier series, the network presented above is a Fourier series in nature. So it can produce any bounded one-dimensional or multi-dimensional non-linear functions without...