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  3. Volume 10, Number 1, 2025
  4. Predicting Cyberspace Intrusions Using Machine Learning Algoritms

Predicting Cyberspace Intrusions Using Machine Learning Algoritms

ACPS.
2025;
Volume 10, Number 1
: pp. 59 - 64
https://doi.org/10.23939/acps2025.01.059
Authors:
  1. Tinatin Mshvidobadze
1
Gori State University

The article presents possible strategies and approaches to address the growing cybersecurity threat landscape, new trends and innovations, such as artificial intelligence and machine learning for cyber threat detection and automation. The paper presents well-known machine learning classifiers for data classification. The dataset has been taken from a report by the Center for Strategic and International Studies. The presented model accuracy assessment study has been significant variation among algorithms based on different network intrusion detection systems.

cybersecurity
artificial intelligence
cyber incidents
machine learning
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