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Identification and counteractions to attacks of malefactors in the automated working system


Article Information

Title: Identification and counteractions to attacks of malefactors in the automated working system

Authors: Krotov L. N., Krotova E. L., Bogdanov N. V.

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 22

Language: English

Categories

Abstract

Article is devoted to the hot topic of identification of the malefactor in the automated computer system. In the article, standard models of the system of identification of users are described, and methods of optimization and increase of functional capabilities of the similar system are offered. Main areas of work: statistical techniques, wavelet transformation, reduction of load of the computer system by reduction of volumes of the expert knowledge bases checking legality of the operations which are carried out by the user by means of transfer of these functions for the self-training monitoring system of current status of system with use of statistical decisive rules. In the article, the subject of development of modern valuation methods of crypto firmness of the enciphering mechanisms used in cryptographic protocols using Edlmana-Lipton's model is touched.


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