International Workshop on Security and Trust Management

Security and Trust Management pp 123-135 | Cite as

Intrusion Detection System for Applications Using Linux Containers

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9331)

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.

Keywords

Intrusion detection Anomaly detection System call monitoring Container security Security in cloud computing 

Notes

Acknowledgment

This work was funded by Northrop Grumman Corporation via a partnership agreement through S2ERC; an NSF Industry/University Cooperative Research Center. We would like to express our appreciation to Donald Steiner and Joshua Shapiro for their support and collaboration efforts in this work

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Electrical & Computer EngineeringVirginia TechBlacksburgUSA
  2. 2.Hume Center for National Security & TechnologyVirginia TechArlingtonUSA
  3. 3.The MITRE CorporationAnnapolis JunctionUSA

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