Hu Z. The combined method and means of intrusion detection on the basis evolutionary mechanisms of artificial immunity

The dissertation work is dedicated to the vital topic: development of mathematical and software of computer systems for anomaly intrusion detection. We have researched the special features and results of evolutionary mechanisms and algorithms of artificial immunity (AI) and applied to the solution of problems of intrusion detection in the computer systems and networks based. The weakness of existing approach and promising hybrid method and means of anomaly intrusion detection are shown, for example, machine states, and evolutionary procedures of the effective selection of intrusion detectors in the concept AI. In the dissertation we have represented the results of research architecture and separate program components of the combined intrusion system on the basis of the principle of AI.