METHODS OF TAKING MEASURES FOR IDENTIFIED ILLEGAL ACTIVITIES

Main Article Content

Аnvаrjon Аbdujаbborovich Mаxkаmov
Alimjon Irgashevich Dadamuhamedov

Abstract

In today's digital era, methods of taking measures against detected illegal activities are one of the most important problems. Taking action against detected illegal activities is one way to ensure network security. In this article, the methods of taking measures against illegal activities detected in the network are considered.

Article Details

How to Cite
Аnvаrjon Аbdujаbborovich Mаxkаmov, & Alimjon Irgashevich Dadamuhamedov. (2023). METHODS OF TAKING MEASURES FOR IDENTIFIED ILLEGAL ACTIVITIES. Proceedings of International Conference on Educational Discoveries and Humanities, 3(1), 176–177. Retrieved from https://econferenceseries.com/index.php/icedh/article/view/3482
Section
Articles

References

Mahkamov, A. A., Jumayev, T. S., Tuhtanazarov, D. S., & Dadamuxamedov, A. I. (2024). Using AdaBoost to improve the performance of simple classifiers. In Artificial Intelligence, Blockchain, Computing and Security Volume 2 (pp. 755-760). CRC Press.

Papadopoulos, S., Kompatsiaris, Y., & Vakali, A. (2018). Network analysis and mining for social media. Synthesis Lectures on Data Mining and Knowledge Discovery.

Zhang, D., Liu, Y., & Wu, Y. (2020). Network traffic anomaly detection based on gradient boosting decision tree algorithm. Computer Communications.