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Science without borders - 2020 ★ Volume 14



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Science without borders - 2020 ★ Volume 14
of calculations in the space of images. Based on the initial information about the subject 
area, a database is formed that contains factual data about the system under study. The 
knowledge base contains information that reflects the laws that exist in the subject area 
in question, allowing you to derive new knowledge and predict the potential states of 
the study area; information about the structure and content of the database; information 
on the language of communication; meta-knowledge that defines the ways of 
representing and processing knowledge.
The knowledge base contains both publicly available data and expert knowledge 
in this subject area, mathematical models, computational algorithms for implementing 
immunocomputing procedures, grouping results and automatic classification, as well 
as interpretation of calculation results. The main computational procedures are aimed 
at creating a knowledge base (training with an expert and without an expert) and 
performing automatic classification and are based on the properties and mathematical 
apparatus of immunocomputing. The functional purpose of intelligent computing 
procedures is implemented in security monitoring, which provide:
- training - the formation of training matrices, which can be either flat or OLAP 
cubes, with point or interval elements. The singular decomposition of these matrices 
and the calculation of the binding energy;
- recognition - the projection of the original image formed on the basis of the 
calculated values of the binding energy into the space of the formal immune network. 
Justification and choice of metrics, the formation of classes.
During monitoring, the database of protection specifications metadata and the 
knowledge base predict the probability of occurrence of information security incidents, 
and also assesses the possible damage during their implementation.
REFERENCES
1. Melnikov Y., Tarakanov A. Immunocomputing model of intrusion detection 
//International Workshop on Mathematical Methods, Models, and Architectures for 
Computer Network Security. - Springer, Berlin, Heidelberg, 2003. - С. 453-456.
2. Lukatsky A.V. Attack detection. -SPb .: "BHV-Petersburg", 2003. - 608s.
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