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2 articles for “Linux malware detection”

• 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 →

• Published Open access Article 30 Jan 2023

  Threat Detection on Linux Systems Using OSquery

  By Yogesh Chandrakant Jadhav, Vaibhav Kisan Kadam, Shubham Ramesh Kanase, Srijita Bhattacharjee

  Abstract: We have made an EDR tool for Linux Systems using Facebook open-source project OSquery. Making our own EDR tool rather than using a commercial EDR tool helps us gain knowledge about the platform and the security aspect of the platform and gives us the capabilities to detect and investigate security events. In our method, we are collecting the logs on the central server and then we are using these logs …

  Published in Journal of Advances in Shell Programming · Vol. 10, Issue 4, 2023 · pp. 1–5 Read article →