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Enforcing Privacy in Distributed Multi-Domain Network Anomaly Detection

  • Christian CallegariEmail author
  • Stefano Giordano
  • Michele Pagano
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9408)

Abstract

In this paper, we propose a distributed PCA-based method for detecting anomalies in the network traffic, which, by means of multi-party computation techniques, is also able to face the different privacy constraints that arise in a multi-domain network scenario, while preserving the same performance of the centralised implementation (with only a limited overhead).

Keywords

Secret Share Anomaly Detection Secret Share Scheme Central Engine Secure MultiParty Computation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Christian Callegari
    • 1
    • 2
    Email author
  • Stefano Giordano
    • 1
    • 2
  • Michele Pagano
    • 1
    • 2
  1. 1.Department of Information EngineeringUniversity of PisaPisaItaly
  2. 2.CNITPisaItaly

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