RUS  ENG
Full version
JOURNALS // Informatics and Automation // Archive

Tr. SPIIRAN, 2017 Issue 53, Pages 97–117 (Mi trspy957)

This article is cited in 1 paper

Information Security

Problems of protection against false information in computer networks

V. Yu. Osipov, V. I. Vorobiev, D. K. Levonevskiy

St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences (SPIIRAS)

Abstract: This paper provides an analysis of the present state in the field of protection against false information in computer networks and formulates current problems related to this protection. An approach to assessing protection activities on the basis of the Markov chain of the disinformation process is proposed. The architecture of a future system of data analysis is described. It implies enhanced methods of text trustworthiness analysis. The proposed complex approach, based on the known and suggested methods, enables detecting false information in computer networks promptly. Furthermore, the proposed method can be used for countering terrorist activities and cybercrimes in order to search for network resources which may be involved in unlawful activities.

Keywords: trustworthiness; false information; text analysis; classification; ontology; information security.

UDC: 004.056.52, 004.82

DOI: 10.15622/sp.53.5



Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024