Manuscript Number : SHISRRJ24724

A Machine Learning Approach to Network Intrusion Detection System Implementation for Strengthening Building Automation Security

Authors(2) :-T. Rajasekhar, Konduru Muni Uma Devi

As digital technologies are increasingly included in Building Automation and Control Systems (BACS), it is crucial to guarantee the security and integrity of these systems. The creation and application of a Network Intrusion Detection System (NIDS) especially for Building Automation and Control Systems is demonstrated in this paper. The purpose of the suggested NIDS is to identify and stop unauthorized access attempts, unusual activity, and possible cyber threats within BACS networks. The NIDS uses machine learning algorithms, anomaly detection techniques, and signature-based analysis to continually monitor network traffic, analyze communication patterns, and identify abnormal activity that may indicate hostile actions or security breaches. Through actual testing in simulated BACS environments, the efficacy of the NIDS is assessed, showcasing its capacity to identify different kinds of network breaches and improve the cyber security posture of building automation systems.

Authors and Affiliations

T. Rajasekhar
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Konduru Muni Uma Devi
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India

Building Automation and Control Systems (BACS), Network Intrusion Detection System (NIDS), Security and integrity, unauthorized access, Cyber threats, Machine learning algorithms, Anomaly detection techniques, Security breaches, and Cyber security posture.

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Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-03-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 21-27
Manuscript Number : SHISRRJ24724
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

T. Rajasekhar, Konduru Muni Uma Devi, "A Machine Learning Approach to Network Intrusion Detection System Implementation for Strengthening Building Automation Security", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.21-27, March-April.2024
URL : https://shisrrj.com/SHISRRJ24724

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