Understanding precision in host based intrusion detection: formal analysis and practical models

  • Authors:
  • Monirul Sharif;Kapil Singh;Jonathon Giffin;Wenke Lee

  • Affiliations:
  • School of Computer Science, Georgia Institute of Technology;School of Computer Science, Georgia Institute of Technology;School of Computer Science, Georgia Institute of Technology;School of Computer Science, Georgia Institute of Technology

  • Venue:
  • RAID'07 Proceedings of the 10th international conference on Recent advances in intrusion detection
  • Year:
  • 2007

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Abstract

Many host-based anomaly detection systems monitor process execution at the granularity of system calls. Other recently proposed schemes instead verify the destinations of control-flow transfers to prevent the execution of attack code. This paper formally analyzes and compares real systems based on these two anomaly detection philosophies in terms of their attack detection capabilities, and proves and disproves several intuitions.We prove that for any system-call sequence model, under the same (static or dynamic) program analysis technique, there always exists a more precise control-flow sequence based model. While hybrid approaches combining system calls and control flows intuitively seem advantageous, especially when binary analysis constructs incomplete models, we prove that they have no fundamental advantage over simpler control-flow models. Finally, we utilize the ideas in our framework to make external monitoring feasible at the precise control-flow level. Our experiments show that external control-flow monitoring imposes performance overhead comparable to previous system call based approaches while detecting synthetic and real world attacks as effectively as an inlined monitor.