Proceedings of the International Conference on Artificial Intelligence and Machine Learning for Agro-Ecosystems (ICAIML-AE 2026)

International Conference on Artificial Intelligence and Machine Learning for Agro-Ecosystems (ICAIML-AE 2026)

📍Pune, India🗓️ 2-3 July 2026
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Intelligent Cyber Security Systems Using Machine Learning

Authors
Harshit Mehra1, *, Priyanka Behki1, Krishna Kumar Choudhary1, Tamanna Jha1, Vankayala Pallavi1, Hiranya Sudha1
1Department of Computer Science and Engineering, Chandigarh University, Ajitgarh, India
*Corresponding author. Email: harshit3875.hm@gmail.com
Corresponding Author
Harshit Mehra
Available Online 9 October 2026.
DOI
10.2991/978-94-6239-791-0_4How to use a DOI?
Keywords
Cybersecurity; Machine Learning; Intrusion Detection System; Network Security; Threat Detection; NSL-KDD
Abstract

The concern of Cybersecurity has increased due to drastic growth of internet technologies and digital services. In the earlier times the security systems were not that effective as they worked upon predefined rules and the attacks they knew. Those systems do not stand strong against the evolving threats like zero-day attacks. To fill this gap our study proposes a machine learning-based intrusion detection system. Our system works with the NSL-KDD dataset to train and evaluate various supervised learning models like Random Forest, Support Vector Machine, Decision Tree, Naïve Bayes, and Logistic Regression. The main parameter of measurement of the models is based on accuracy and computational efficiency. The results depicted, methods that combine multiple models like Random Forest perform better in detecting complex attack patterns. Our study mainly focuses on the importance of proper data preprocessing, feature selection, and model selection in making reliable intrusion system for the upcoming new cybersecurity applications.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence and Machine Learning for Agro-Ecosystems (ICAIML-AE 2026)
Series
Advances in Intelligent Systems Research
Publication Date
9 October 2026
ISBN
978-94-6239-791-0
ISSN
1951-6851
DOI
10.2991/978-94-6239-791-0_4How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Harshit Mehra
AU  - Priyanka Behki
AU  - Krishna Kumar Choudhary
AU  - Tamanna Jha
AU  - Vankayala Pallavi
AU  - Hiranya Sudha
PY  - 2026
DA  - 2026/10/09
TI  - Intelligent Cyber Security Systems Using Machine Learning
BT  - Proceedings of the International Conference on Artificial Intelligence and Machine Learning for Agro-Ecosystems (ICAIML-AE 2026)
PB  - Atlantis Press
SP  - 25
EP  - 34
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-791-0_4
DO  - 10.2991/978-94-6239-791-0_4
ID  - Mehra2026
ER  -