Use of machine learning in information security


  • А. Askhatuly al-Farabi Kazakh National University
  • D. Yedilkhan Astana IT-University
  • D. Berdysheva al-Farabi Kazakh National University



machine learning, information security system, network security, application security, response to information security events.


Global shortage of cybersecurity experts is becoming emerging trend in Information Security (IS) domain. Traditional and non-traditional education approaches are not able to supply global demand for cybersecurity talents, and this trend is unlikely to change in the coming years. Companies are experiencing a huge number of cyber-attacks of various scale and vector: phishing, network attacks, malware, denial of service (DoS) and ransomware. The effect of multi vector cyber-attacks could result in tremendous financial and reputational damage for the companies. Information security community is constantly looking for new approaches to combat with ever-growing number of cyber-attacks. In an era of big data and a shortage of cybersecurity talents, machine learning (ML) has all the prerequisites to become one of the most efficient solutions in this field. The purpose of this article is to analyze current issues of IS management system and discuss practical use of ML in several IS processes. The article also discusses current challenges and future developments of ML in cybersecurity.



How to Cite

Асхатулы, А. ., Едилхан, Д. Е., & Бердышева, Д. . (2021). Use of machine learning in information security . Engineering Journal of Satbayev University, 143(6), 100–106.



Technics and techology