CRNov 9, 2016

Applying Bag of System Calls for Anomalous Behavior Detection of Applications in Linux Containers

arXiv:1611.03053v151 citations
Originality Synthesis-oriented
AI Analysis

This addresses security monitoring for containerized applications, but it is incremental as it adapts an existing method to a new context.

The paper tackled the problem of detecting anomalous behavior in Linux containers by using bags of system calls, achieving results without prior knowledge or modifications to containers or the host kernel.

In this paper, we present the results of using bags of system calls for learning the behavior of Linux containers for use in anomaly-detection based intrusion detection system. By using system calls of the containers monitored from the host kernel for anomaly detection, the system does not require any prior knowledge of the container nature, neither does it require altering the container or the host kernel.

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Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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