The application of neural network for cybersecurity

Автор: Alekseenko Iuliia, Avdeeva Tatyana

Журнал: Форум молодых ученых @forum-nauka

Статья в выпуске: 12-1 (28), 2018 года.

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Over the past few years, the number of cyber attacks has increased dramatically. Currently, not only government organizations and business companies are attacked by hackers, but many Internet users. Recent studies have shown that machine learning and analytics can predict potential attacks pretty accurate. This article contains the results of the analysis of attacks from 2017 to 2018. The authors also describe several ways of protection by using neural networks and machine learning algorithms as a promising solution to the problem.

Machine learning, neural networks, cybersecurity, artificial intelligence, cyber attacks

Короткий адрес: https://sciup.org/140280721

IDR: 140280721

Список литературы The application of neural network for cybersecurity

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  • February 2017 Cyber Attacks Statistics // HACKMAGEDDON. URL: https://www.hackmageddon.com/2017/03/20/february-2017-cyber-attacks-statistics
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  • Security Analytics: Using Deep Learning to DetectCyber Attacks // UNF Digital Commons. URL: https://digitalcommons.unf.edu/cgi/viewcontent.cgi?article=1783&context=etd
  • System predicts 85 percent of cyber-attacks using input from human experts// Phys.org. URL: https://phys.org/news/2016-04-percent-cyber-attacks-human-experts.html
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