Modeling And Analysis Of Cognitive Structure For Survivable System

With the increasingly severe information system reality security situation, the system security problems are urgent to be effectively solved. By improving the survivability system cognitive ability to innovate and improve the past information security concept, emphasizing that information system in face of failures, attacks or accidents will still be able to fulfill its critical services. Basing on previous research in related fields, this paper introduces cognitive computing technology into the recognition study of survivable system, to take study about survivability system cognitive reference model, cognitive structure and performance evaluation etc.Firstly, this paper establishes basic attribute indexes of the survivable system, analyzes the four-dimensional scalable cognitive reference model by using of fuzzy relation matrix method, through the calculation of attribute contribution rate and correlation degree to judge about a moment in the survivable system which attributes and sub-attribute are in the dominant position and playing an important role. And then, on the basis of the study of cognitive system cognitive reference model, using the hierarchical design model, we construct a survivable system cognitive structure which with access cognition layer, service agent cognition layer and service cognition layer, and takes formal modeling and analysis of cognitive structure for survivable system in two aspects basing on high-order multiple-type π calculus. Finally, we take quantitative evaluation of cognitive performance for survivable system basing on the K-path algorithm. According to the cognitive performance evaluation framework, we use K-path algorithm to quantize and analyze cognitive performance, so as to analyze the system vulnerabilities, to provide suggestions for the improvement of the system, it confirms that the cognitive performance quantitative evaluation method is feasible and effective.