Informatika i Ee Primeneniya [Informatics and its Applications]
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Inform. Primen.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Informatika i Ee Primeneniya [Informatics and its Applications], 2020, Volume 14, Issue 4, Pages 3–8
DOI: https://doi.org/10.14357/19922264200401
(Mi ia690)
 

This article is cited in 1 scientific paper (total in 1 paper)

On probabilistic estimates of the validity of empirical conclusions

A. A. Grushoa, M. I. Zabezhailob, D. V. Smirnovc, E. E. Timoninaa

a Institute of Informatics Problems, Federal Research Center “Computer Sciences and Control” of the Russian Academy of Sciences; 44-2 Vavilov Str., Moscow 119133, Russian Federation
b A. A. Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 40 Vavilov Str., Moscow 119333, Russian Federation
c Sberbank of Russia, 19 Vavilov Str., Moscow 117999, Russian Federation
Full-text PDF (154 kB) Citations (1)
References:
Abstract: The work focuses on some features of data analysis in insider search problems. The possibilities of using different approaches to describe the diagnosis of insider actions in the analysis of large empirical data are discussed. In tasks of this type, it is necessary to establish (predict, diagnose, etc.) the presence or the absence of target properties in any users from a given set. The assessment of the correctness of plausible reasoning is checked on the basis of estimates of the probabilities of the random appearance of the found laws in the simplest probabilistic models. The examples discussed show at what ratios of parameters it is possible to effectively identify correlations between events with which insiders can be identified. Two methods of controlling relations between parameters are indicated, allowing to obtain content information. The first method is based on dividing the observation period at the intervals during which the desired correlation may appear. The second method relates to the ways to reduce the set of users that could potentially become insiders, i. e., the authors are talking about the formation of clusters in which probabilistic estimates become operational. The desired relationships between the parameters for finding correlations can be determined using limit theorems in the series scheme.
Keywords: hostile insider, causal analysis, probabilistic estimates of random appearance of properties.
Funding agency Grant number
Russian Foundation for Basic Research 18-29-03081_мк
The paper was partially supported by RFBR, project No. 18-29-03081.
Received: 12.10.2020
Document Type: Article
Language: Russian
Citation: A. A. Grusho, M. I. Zabezhailo, D. V. Smirnov, E. E. Timonina, “On probabilistic estimates of the validity of empirical conclusions”, Inform. Primen., 14:4 (2020), 3–8
Citation in format AMSBIB
\Bibitem{GruZabSmi20}
\by A.~A.~Grusho, M.~I.~Zabezhailo, D.~V.~Smirnov, E.~E.~Timonina
\paper On probabilistic estimates of the validity of empirical conclusions
\jour Inform. Primen.
\yr 2020
\vol 14
\issue 4
\pages 3--8
\mathnet{http://mi.mathnet.ru/ia690}
\crossref{https://doi.org/10.14357/19922264200401}
Linking options:
  • https://www.mathnet.ru/eng/ia690
  • https://www.mathnet.ru/eng/ia/v14/i4/p3
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Информатика и её применения
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024