COMPUTATIONAL COGNITIVISM-BASED APPROACH TO INTRUSION DETECTION

Explores the complex scientific problem of detecting intrusion in domestic departmental and corporate information systems. An approach to the creation of intrusion detection system based on the socalled «computational cognitivism» is proposed and substantiated – a relatively new scientific direction of research, in which cognition and cognitive processes are a kind of symbolic computation. It is shown that the cognitive approach makes it possible to create systems that fundamentally differ from the known systems for detecting, preventing and eliminating the consequences of computer attacks by the unique ability to independently associate and synthesize new knowledge about the qualitative characteristics and quantitative patterns of information countermeasures in cyberspace. The systematic appearance of a cognitive system for detecting intrusion based on computational cognitivism is proposed.

Authors: E. O. Kuznetsova, S. А. Petrenko

Direction: Informatics, Computer Technologies And Control

Keywords: Information security, intrusion detection, intrusion detection system, computational cognitivism, quantitative patterns of countermeasures in cyberspace, converging NBIC-technologies, Big Data technologies

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