name

Sidelnikov Oleg Vasilevich

Scholastic degree

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Academic rank

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Honorary rank

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Organization, job position

• Military academy of communication corps (Krasnodar branch office)
  кафедра защиты информации в автоматизированных системах
  заместитель начальника

Research interests

информационные защищенные компьютерные технологии, обеспечение защиты информации в автоматизированных системах, обнаружение компьютерных атак в автоматизированных системах

Web site url

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Email

OlegVSK@mail.ru

Current rating (overall rating of articles)

0

TOP5 co-authors

• Laptev V. N. ²
• Sharaj V. A. ¹

Articles count: 2

Сформировать список работ, опубликованных в Научном журнале КубГАУ

• pdf  550.431kb doc 550.431kb Views: 1899 Date: 30.03.2012
  Laptev V. N. Sidelnikov O. V.

  TECHNIQUE OF DETECTION AND IDENTIFICATION OF COMPUTER ATTACKS IN INFORMATION-TELECOMMUNICATION SYSTEMS ON THE BASIS OF THE METHOD OF INDUCTIVE FORECASTING OF CONDITIONS

  05.00.00 Technical science

  Description

  The article defines the parameters and criteria for detection of computer attacks; model and method of detection of computer attacks in the ITCS on the basis of the inductive pro-state forecasting are developed

• pdf  1.328.817kb doc 1.328.817kb Views: 1166 Date: 30.10.2011
  Laptev V. N. Sidelnikov O. V. Sharaj V. A.

  APPLICATION OF THE METHOD OF THE INDUCTIVE FORECASTING OF STATES FOR DETECTION OF COMPUTER ATTACKS IN INFORMATION-TELECOMMUNICATION SYSTEMS

  05.00.00 Technical science

  Tags: knowledge base inductive prediction of states information and telecommunication systems detection of computer attacks
  Description

  The problem of acquisition of computer attacks is considered. It is demonstrated that it is a solution of combinatorial problems, and their solution is bound to fork of solving processes, with search of alternatives that grows fast at thickening of system of regularities. Such search is foregone, but it can be reduced to the reasonable magnitude, allowing solving problems of acquisition of computer attacks. Application of inductive forecasting of statuses will allow to inoculate knowledge base in an automatic mode, to shape the new rules and to delete the old ones