Study On Security Assessment And Synchronization Control For The Complex Network

In recent years, the analysis on Internet of Things(Io T) becomes a hot issue with the development of technology and industrial-scale, which plays an important role in the area of complex network theory and application. In actual production and application, the demands of security model and theoretic based on Io T become more obvious, so the professional information security risk assessment model and the network model is particularly important. As a hotspot of complex dynamic network, network synchronization occupies an important role in practical technical application, which has a great significance in multi-node distribution and multi-network integration of Io T especially. By combining with network analysis and control theory, this thesis analyzes the complex networks from two aspects, the security model and synchronous control. The main contents of this thesis are summarized as follows:1. Based on the security model of IOT, the thesis introduces the feature of risk, analyzes the work progress of standard related to security risk assessment and summarizes several security models and assessment method. Combining security detection methods and design theories, this thesis built three models for Io T safety analysis, including hierarchical decision model, artificial immune model and cloud transformation model, the comparison of traditional risk assessment methods is discussed to show their advantages and effectiveness and then provide scientific basics.2. Complex dynamic network synchronization is investigated by using fractional order calculus and adaptive control theories. With the historical memory feature of fractional order, a new distributed adaptive control method is introduced and the fractional order theory can be applied into the study of network synchronization issues. The synchronous problem between complex dynamic networks is turned into a stabilized problem of error dynamic system by analyzing the error system with control theory. The stability of fractional order dynamic network can also be proved effectively by using the stability theory of fractional-order system under the new controller. The simulation of fractional order Chen system as the dynamics of the nodes for the complex dynamical network is made and the results show that synchronous error of network is close to zero with the designed controller, which can realize the synchronization of fractional order complex dynamic network.