System of intruder detection and identification in information & communication networks

Abstract

Efficient detection of information security intruder in information and communication networks and systems is a complex task that requires the use of special security means – intruder detection systems. Most of these systems are based on the use of signature methods and have several disadvantages, including the demands on resources and costs of various kinds (e.g., sampling statistics, systems studying, their adaptation and others). Expert approaches based on the use of knowledge and experience of specialists in some sector are more effective in this viewpoint. The paper presents a structural solution of intruder detection and identification system based on fuzzy logic. The system consists of preprocessing subsystem for clear and fuzzy parameters forming, fuzzy standards and heuristic rules forming (according to fuzzy and clear controlled parameters) and modules of cortege forming, linguistic output and visualization that can detect and identify the intruder. The result of the system work is represented in linguistic and graphical forms