Modeling of neural-network security tools for computer-aided systems: A formal model of adaptation and operation. I

Basing on the biosystem analogy and model of adaptive security that uses intellectual mechanisms of neural networks and fuzzy logic, tools for security of information of computer-aided systems are organized in the form of hierarchy of security levels: immune (for operative reaction to the variation of threats) and receptor (for accumulated know-how in the form of information fields of neural networks). Tools for describing processes in information fields of neural networks by batch neural-network programs, i.e., a formal model of adaptation and operation of neural-network security tools.