Open AccessIntelligent System of Analytical Processing of Digital Network Content for Protection against Inappropriate Information
Author(s) -
Igor Kotenko,
Igor Saenko,
Alexander Branitskiy,
Igor Parashchuk,
Diana Gaifulina
Publication year - 2021
Publication title -
informatika i avtomatizaciâ/informatika i avtomatizaciâ (print)
Language(s) - English
Resource type - Journals
eISSN - 2713-3206
pISSN - 2713-3192
DOI - 10.15622/ia.20.4.1
Subject(s) - component (thermodynamics) , computer science , information protection policy , relevance (law) , the internet , digital content , information system , computer security , risk analysis (engineering) , data science , state (computer science) , world wide web , engineering , business , physics , electrical engineering , algorithm , political science , law , thermodynamics
Currently, the Internet and social networks as a medium for the distribution of digital network content are becoming one of the most important threats to personal, public and state information security. There is a need to protect the individual, society and the state from inappropriate information. In scientific and methodological terms, the problem of protection from inappropriate information has an extremely small number of solutions. This determines the relevance of the results presented in the article, aimed at developing an intelligent system of analytical processing of digital network content to protect against inappropriate information. The article discusses the conceptual foundations of building such a system, revealing the content of the concept of inappropriate information and representing the overall architecture of the system. Models and algorithms for the functioning of the most characteristic components of the system are given, such as a distributed network scanning component, a multidimensional classification component of network information objects, a component for eliminating incompleteness and inconsistency, and a decision-making component. The article presents the results of the implementation and experimental evaluation of system components, which demonstrated the ability of the system to meet the requirements for the completeness and accuracy of detection and counteraction of unwanted information in conditions of its incompleteness and inconsistency.