Intrusion Detection System for Applications using Linux Containers
Amr S. Abed, Charles Clancy, David S. Levy

TL;DR
This paper presents a real-time host-based intrusion detection system for Linux containers that monitors system calls to detect malicious activity, enhancing security in containerized environments.
Contribution
It introduces a novel passive detection method using system call bags to identify anomalous behavior in Linux containers in real-time.
Findings
Effective detection of container malfeasance demonstrated with database application
System call monitoring achieves real-time performance
Applicable to standalone and multi-tenant cloud environments
Abstract
Linux containers are gaining increasing traction in both individual and industrial use, and as these containers get integrated into mission-critical systems, real-time detection of malicious cyber attacks becomes a critical operational requirement. This paper introduces a real-time host-based intrusion detection system that can be used to passively detect malfeasance against applications within Linux containers running in a standalone or in a cloud multi-tenancy environment. The demonstrated intrusion detection system uses bags of system calls monitored from the host kernel for learning the behavior of an application running within a Linux container and determining anomalous container behavior. Performance of the approach using a database application was measured and results are discussed.
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