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- Article name
- Detection of Internet fraud with some probability
- Authors
- Ogolyuk A. A., , xms2007@yandex.ru, St. Petersburg National Research University of Information Technologies, Mechanics and Optics, St. Petersburg, Russia
Platonov T. S., , rag_nar_roog@mail.ru, St. Petersburg National Research University of Information Technologies, Mechanics and Optics, St. Petersburg, Russia
Malkina N. M., , nadine.malkina@mail.ru, St. Petersburg National Research University of Information Technologies, Mechanics and Optics, St. Petersburg, Russia
- Keywords
- web application / attack / query / firewall / machine learning / browser / decision tree
- Year
- 2019 Issue 3 Pages 8 - 13
- Code EDN
- Code DOI
- Abstract
- This article discusses modern types of network attacks on applications and discusses a solution to provide protection against such attacks. A comparison of various machine learning algorithms in the context of solving problems of protection against attacks on web applications is given, and a method for detecting unknown threats is selected, and a set of characteristics is given to determine malicious requests.
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