THE ANALYSIS AND GENERALIZATION AVAILABLE APPROACHES OF CLASSIFICATION OF THREATS FOR PRIVATE DATA’S SAFETY

Autor: Alexander Petrovitch Rosenko, Maria Sergeevna Okulova
Jazyk: ruština
Rok vydání: 2022
Předmět:
Zdroj: Вестник Северо-Кавказского федерального университета, Vol 0, Iss 3, Pp 30-34 (2022)
Druh dokumentu: article
ISSN: 2307-907X
Popis: In article authors the analysis of threats for private data’s safety on various classification signs is carried out. Authors of this article the analysis and generalization of existing information, submitted information about available approaches of classification of threats for private data’s safety.
Databáze: Directory of Open Access Journals