Computer Science

Computer Science ›› 2026, Vol. 53 ›› Issue (10): 413-422.doi: 10.11896/jsjkx.250700146

• Information Security • Previous Articles     Next Articles

Survey of Container Anomaly Detection in Linux Environments

CHEN Hao, ZHOU Naqin, CHEN Zeyu, CHEN Haoqin   

  1. School of Cyberspace Security,Guangzhou University,Guangzhou 510006, China
  • Received:2025-07-22 Revised:2025-11-07 Published:2026-10-13
  • About author:CHEN Hao,born in 1999,postgraduate.His main research interest is container security.
    ZHOU Naqin,born in 1982,Ph.D,associate professor,is a member of CCF(No.Y7983M).Her main research interests include distributed computing,resource management scheduling,and container security.
  • Supported by:
    National Natural Science Foundation of China(62002078), Guangdong Provincial Science and Technology Program(2023A1111120005) and Guangzhou Basic Research Program(2025A03J3139).

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Abstract: Container technology has gained widespread adoption in cloud and edge computing due to its lightweight nature,high performance,and scalability.However,the complex and dynamic behavior of containerized workloads in Linux environments introduces challenges such as resource abuse,privilege escalation,and container escape,which pose significant threats to system security and performance.Effective anomaly detection techniques are expected to meet essential requirements including real-time responsiveness,low overhead,adaptability,and high accuracy.This paper provides a systematic review of container anomaly detection technologies based on the Linux kernel mechanisms.Firstly,it presents a theoretical analysis of resource allocation logic and system call behavior patterns during container runtime.Secondly,it summarizes detection methods based on rules and learning by focusing on two key features:resource consumption and system calls.Finally,it discusses potential future research directions for container anomaly detection.

Key words: Linux, Container anomaly detection, System calls, Resource consumption, eBPF

CLC Number: 

  • TP309
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