CYBER THREATS: STATISTICAL INSIGHTS INTO  MOBILE AND COMPUTER NETWORK SECURITY Cover Image

CYBER THREATS: STATISTICAL INSIGHTS INTO MOBILE AND COMPUTER NETWORK SECURITY
CYBER THREATS: STATISTICAL INSIGHTS INTO MOBILE AND COMPUTER NETWORK SECURITY

Author(s): Dušan Rajčević, Hadžib Salkić
Subject(s): ICT Information and Communications Technologies
Published by: Editura Eurostampa
Keywords: cyber-attacks; network security; mobile devices; computer systems; statistical analysis; threat detection;

Summary/Abstract: Cyber-attacks pose a significant threat to information security and network infrastructure, particularly in mobile devices and computer systems. This paper analyzes the five most common types of cyber-attacks – malware, DoS/DDoS, Man-in-the-Middle, phishing, and exploits using statistical methods. It examines attack frequency, interrelationships, and similarities between mobile and computer systems. Applied methods include regression analysis, correlation analysis, the elbow method for cluster determination, and K-means cluster analysis. The results indicate no significant correlation in the distribution of attacks across different platforms, while cluster analysis identifies two main attack groups. These insights are crucial for developing effective security strategies.

  • Issue Year: 2025
  • Issue No: 27
  • Page Range: 154-167
  • Page Count: 14
  • Language: English
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