Enhancing LAN Security Using Machine Learning

Year : 2025 | Volume : 03 | Issue : 02 | Page : 07 16
    By

    Kazi Kutubuddin Sayyad Liyakat,

  1. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

The modern Local Area Network (LAN) is a critical component of any organization’s infrastructure, facilitating communication, resource sharing, and access to the wider internet. However, this connectivity also brings inherent security risks. Traditional security measures, relying on signature-based detection and rule-based systems, are increasingly struggling to keep pace with the evolving sophistication of cyberattacks. This is where Machine Learning (ML) offers a powerful alternative, enabling proactive threat detection and enhanced security posture within the LAN environment. This study explores the application of machine learning-ML techniques to bolster LAN security, drawing insights and conclusions from recent research in the field.  Traditional security systems often fail to address the complexities of modern cyber threats. Signature-based intrusion detection systems (IDSs) are limited to detecting known attacks, making them susceptible to zero-day vulnerabilities and polymorphic malware. Rule-based firewalls require constant updates and fine-tuning, which are time-consuming and disposed to errors. Moreover, these systems are often reactive, detecting threats only after they have already breached the network perimeter. Machine learning offers a proactive and adaptive approach to LAN security. By examining network traffic patterns, user actions, and system logs, machine learning algorithms can detect unusual behavior that differs from regular activity. This enables the identification of suspicious actions, including those that do not align with known attack signatures. Additionally, ML models can keep learning and adjusting to the changing threat environment, enhancing their precision and efficiency as time progresses.

Keywords: LAN, security, machine learning, anomaly detection, cyberattacks

[This article belongs to International Journal of Wireless Security and Networks ]

How to cite this article:
Kazi Kutubuddin Sayyad Liyakat. Enhancing LAN Security Using Machine Learning. International Journal of Wireless Security and Networks. 2025; 03(02):07-16.
How to cite this URL:
Kazi Kutubuddin Sayyad Liyakat. Enhancing LAN Security Using Machine Learning. International Journal of Wireless Security and Networks. 2025; 03(02):07-16. Available from: https://journals.stmjournals.com/ijwsn/article=2025/view=232814


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Regular Issue Subscription Review Article
Volume 03
Issue 02
Received 15/02/2025
Accepted 17/07/2025
Published 09/09/2025
Publication Time 206 Days
116

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