A Review of Machine and Deep Learning Techniques for Cyber Security

Year : 2025 | Volume : 16 | Issue : 03 | Page : 01 07
    By

    Yasoda Krishna Reddy Annapureddy,

  • V. Krishna Reddy,

  1. Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Guntur, Andhra Pradesh, India
  2. Professor & Principal, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Guntur, Andhra Pradesh, India

Abstract

Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential solutions. However, the dynamic nature of the threats presents major challenges which are new, and complex threats continue to emerge daily. These increasing threat models must be continually documented and used to retrain which will lead to improvement in the existing prediction models to maintain their accuracy and reliability. A wide range of approaches have already been proposed for threat detection and prediction, each leveraging different algorithms, datasets and evaluation metrics. In this study, the most well-known machine learning and deep learning models for predicting cyber threats are compared. We evaluate these models using key performance indicators such as precision, recall, accuracy, and adaptability to emerging threats, aiming to identify the most effective approaches for real-world scenarios.

Keywords: Cyber security, machine learning, deep learning, threat prediction, threat detection, data analysis, data processing, network security, intrusion detection, malware detection, phishing detection, vulnerability assessment, risk analysis, automation, cyber threat intelligence, critical infrastructure protection

[This article belongs to Journal of Computer Technology & Applications ]

How to cite this article:
Yasoda Krishna Reddy Annapureddy, V. Krishna Reddy. A Review of Machine and Deep Learning Techniques for Cyber Security. Journal of Computer Technology & Applications. 2025; 16(03):01-07.
How to cite this URL:
Yasoda Krishna Reddy Annapureddy, V. Krishna Reddy. A Review of Machine and Deep Learning Techniques for Cyber Security. Journal of Computer Technology & Applications. 2025; 16(03):01-07. Available from: https://journals.stmjournals.com/jocta/article=2025/view=216398


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Regular Issue Subscription Review Article
Volume 16
Issue 03
Received 06/06/2025
Accepted 05/07/2025
Published 08/07/2025
Publication Time 32 Days
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