Monitoring for security intrusion using performance signatures

  • Authors:

  • Alberto Avritzer;Rajanikanth Tanikella;Kiran James;Robert G. Cole;Elaine Weyuker

  • Affiliations:

  • Siemens Corporate Research, Princeton, NJ, USA;Siemens Corporate Research, Princeton, NJ, USA;Siemens Corporate Research, Princeton, NJ, USA;JHU/Applied Physics Laboratory, Laurel, MD, USA;AT&T Labs - Research, Florham Park, NJ, USA

  • Venue:
  • Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
  • Year:
  • 2010

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Abstract

A new approach for detecting security attacks on software systems by monitoring the software system performance signatures is introduced. We present a proposed architecture for security intrusion detection using off-the-shelf security monitoring tools and performance signatures. Our approach relies on the assumption that the performance signature of the well-behaved system can be measured and that the performance signature of several types of attacks can be identified. This assumption has been validated for operations support systems that are used to monitor large infrastructures and receive aggregated traffic that is periodic in nature. Examples of such infrastructures include telecommunications systems, transportation systems and power generation systems. In addition, significant deviation from well-behaved system performance signatures can be used to trigger alerts about new types of security attacks. We used a custom performance benchmark and five types of security attacks to derive performance signatures for the normal mode of operation and the security attack mode of operation. We observed that one of the types of the security attacks went undetected by the off-the-shelf security monitoring tools but was detected by our approach of monitoring performance signatures. We conclude that an architecture for security intrusion detection can be effectively complemented by monitoring of performance signatures.