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• Published Subscription Review Article 28 Aug 2026

  AI-Driven Malware Detection in Linux: A Survey of Techniques, Challenges, and Future Directions

  By Aayush Srivastava, Yash Upadhyay, Krishna Garg, Aniket Kumar Singh, Sonu Kumar Thakur, Vikram Kapoor

  Abstract: With the rapid growth of Linux-based systems across cloud computing, Internet of Things (IoT) devices, servers, and embedded platforms, Linux environments have increasingly become attractive targets for sophisticated malware attacks. This survey provides a comprehensive review of Artificial Intelligence (AI)-based approaches for detecting Linux malware, focusing on research published between 2022 and 2026. More than 40 different detection methodologies are examined, covering both traditional Machine Learning (ML) techniques, such as …

  Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 2, 2026 · pp. 7–14 Read article →