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Kohli, Teena (2022) An Efficient Threat Detection Framework for Docker Containers using AppArmor Profile and Clair Vulnerability Scanning Tool. Masters thesis, Dublin, National College of Ireland.
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Abstract
With the increased demand for continuous delivery, faster deployments and cost-saving solutions, containers have gained traction in Cloud Computing. Today, containerisation has become a de facto of the IT industry that leverages various capabilities like orchestration, fault tolerance etc. Over a few years, Docker containers have been widely accepted package solutions across IT and therefore subjected to numerous threats like malware, image vulnerabilities and host exploitations. Thus, this paper marks the contribution toward efficient research on a secure framework for Docker container solution following a Threat Detection-Defence mechanism using AppArmor Custom Profiling and Clair scanner as image vulnerability assessment tool. To evaluate the effectiveness of the suggested framework, publicly available Word-Press’s website and its aspects regarding backup plugins’ security have been leveraged. The results show that the proposed implementation significantly improves the website’s security and restricts the upload of any plugin from outside the world compared to the default security measures.
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