Open-Source Software Empowering Artificial Intelligence, Machine Learning, and Cyber Security: A Comprehensive Research Study

Year : 2026 | Volume : 13 | Issue : 01 | Page : 08 15
By

Sangeeta Singh,

  1. Assistant Professor, Department of Computer Science Engineering, Madhav University, Pindwara, Rajasthan, India

Abstract

Open-source software (OSS) has become a foundational pillar for rapid innovation across artificial intelligence (AI), machine learning (ML), and cybersecurity. This paper delivers a comprehensive, journal-length analysis of OSS-driven ecosystems, emphasizing collaborative development, transparency, and accelerated deployment. By providing freely available libraries, tools, and frameworks, OSS makes it easier for developers and researchers to experiment, build models, and deploy solutions quickly. This study examines how OSS can be combined with AI and ML to improve cybersecurity, using a layered framework that covers data collection, processing, model training, threat detection, and automated response. Popular OSS tools are reviewed, showing how they improve detection accuracy, system efficiency, and scalability. While OSS offers many advantages, it also presents challenges such as exposed vulnerabilities, inconsistent updates, limited documentation, and integration difficulties. Strategies like secure coding, community oversight, and privacy-focused methods such as federated learning can help overcome these issues. The paper also discusses future directions, including explainable AI, autonomous security systems, and blockchain-based protection. Overall, OSS combined with AI and ML provides transparent, collaborative, and adaptable solutions that strengthen cybersecurity and support faster innovation across industries.

Keywords: Open-source software, artificial intelligence, machine learning, cybersecurity, deep learning, intrusion detection, open source intelligence (OSINT)

[This article belongs to Journal of Open Source Developments ]

How to cite this article: Sangeeta Singh. Open-Source Software Empowering Artificial Intelligence, Machine Learning, and Cyber Security: A Comprehensive Research Study. Journal of Open Source Developments. 2026; 13(01):08-15.
How to cite this URL: Sangeeta Singh. Open-Source Software Empowering Artificial Intelligence, Machine Learning, and Cyber Security: A Comprehensive Research Study. Journal of Open Source Developments. 2026; 13(01):08-15. Available from: https://journals.stmjournals.com/joosd/article=2026/view=242380

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Regular Issue Subscription Review Article
Volume 13
Issue 01
Received 31/03/2026
Accepted 17/04/2026
Published 30/04/2026
Publication Time 30 Days

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