MODELS, ALGORITHMS AND SOFTWARE FOR IDENTIFYING MALICIOUS INFORMATION IN SOCIAL NETWORKS

  • Mallayev Oybek Usmankulovich Head of the Department of Digital Technologies of Perfect University
  • Mirzaeva Malika Bakhadirovna Associate Professor of the department "Hardware and software of management systems in telecommunications"
  • A. O. Mukhamedaminov UNICON.UZ SHOP, Standardization base organization engineer
Keywords: information security, cyberattack, cybercrime, algorithm, virus, antivirus

Abstract

In this article, the opinions and comments of our country's and foreign scientists are mentioned about the improvement of models, algorithms and software complex for identifying harmful information in social networks.

References

1. Alimov R.Kh., Khodiyev B. Yu. and others. Information systems and technology in the national economy gyals. Tashkent. "Sharq", 2004.
2. Aripov M., Begalov B. and others. Information Technology. For higher educational institutions study guide. Tashkent-Noshir-2009.
3. Fundamentals of Library and Informational science‖, by ABDUWAHAB OLANREWAJU ISSA, Ph.D in 2013, pages – 133.
4. Harris, M.H. History of Libraries in the Western World, 4th ed. (Scarecrow, 2011)
5. http://en.wikipedia.org/wiki/Library_science
6. http://WWW.rocket-library.com/)
7. http://en.wikipedia.org/wiki/List_of_libraries
Published
2023-08-22
How to Cite
Mallayev Oybek Usmankulovich, Mirzaeva Malika Bakhadirovna, & A. O. Mukhamedaminov. (2023). MODELS, ALGORITHMS AND SOFTWARE FOR IDENTIFYING MALICIOUS INFORMATION IN SOCIAL NETWORKS. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4(8), 77-80. Retrieved from https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/501
Section
Articles