A workflow checking approach for inherent privacy awareness in network monitoring

  • Authors:
  • Maria N. Koukovini;Eugenia I. Papagiannakopoulou;Georgios V. Lioudakis;Dimitra I. Kaklamani;Iakovos S. Venieris

  • Affiliations:
  • School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

  • Venue:
  • DPM'11 Proceedings of the 6th international conference, and 4th international conference on Data Privacy Management and Autonomous Spontaneus Security
  • Year:
  • 2011

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Abstract

Despite the usefulness of network monitoring for the operation, maintenance, control and protection of communication networks, as well as law enforcement, network monitoring activities are surrounded by serious privacy implications. The inherent "leakage-proneness" is harshened due to the increasing complexity of the monitoring procedures and infrastructures, that include multiple traffic observation points, distributed mitigation mechanisms and even inter-operator cooperation. In this paper, an innovative approach aiming at realising the "privacy by design" principle in the area of network monitoring is presented; it relies on service-orientation primitives and abstractions, in order to verify and, when needed, to adjust network monitoring workflows, so that they become inherently privacy-aware before being deployed for execution.