Modeling Big Data Management Systems in Information Security

被引:7
作者
Poltavtseva, M. A. [1 ]
Kalinin, M. O. [1 ]
机构
[1] St Petersburg Polytech Univ, St Petersburg 195251, Russia
关键词
data management systems; Big Data; information security; system modeling;
D O I
10.3103/S014641161908025X
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The article presents a model of a Big Data management system for solving information security (IS) problems for systems of this class. The features of the considered systems are highlighted. The model and architecture of data processing are mathematically described based on the ANSI/SPARC concept and the principles of modeling information systems in IS. The model is analyzed.
引用
收藏
页码:895 / 902
页数:8
相关论文
共 13 条
  • [1] [Anonymous], ANSI SPARC DBMS MODE
  • [2] [Anonymous], 2002, ENTSIKLOPEDIYA TEKHN
  • [3] CRITICAL QUESTIONS FOR BIG DATA Provocations for a cultural, technological, and scholarly phenomenon
    Boyd, Danah
    Crawford, Kate
    [J]. INFORMATION COMMUNICATION & SOCIETY, 2012, 15 (05) : 662 - 679
  • [4] Devyanin P. N., 2005, MODELI BEZOPASNOSTI
  • [5] Gaidamakin N.A, 2003, RAZGRANICHENIE DOSTU
  • [6] Gergel' V.P., 2001, OSNOVY PARALLELNYKH
  • [7] NoSQL data management systems
    Kuznetsov, S. D.
    Poskonin, A. V.
    [J]. PROGRAMMING AND COMPUTER SOFTWARE, 2014, 40 (06) : 323 - 332
  • [8] New Storage Devices and the Future of Database Management
    Kuznetsov, Sergey D.
    [J]. BALTIC JOURNAL OF MODERN COMPUTING, 2018, 6 (01): : 1 - 12
  • [9] A Hierarchical Architecture for Distributed Security Control of Large Scale Systems
    Rouf, Yar
    Shtern, Mark
    Fokaefs, Marios
    Litoiu, Marin
    [J]. PROCEEDINGS OF THE 2017 IEEE/ACM 39TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING COMPANION (ICSE-C 2017), 2017, : 118 - 120
  • [10] Modeling of information systems to their security evaluation
    Zegzhda, D.
    Zegzhda, P.
    Pechenkin, A.
    Poltavtseva, M.
    [J]. SIN'17: PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON SECURITY OF INFORMATION AND NETWORKS, 2017, : 295 - 298