If You Can't Measure It, You Can't Improve It

Moving Target Defense Metrics

Conference paper (2017)

Authors

S. Picek Cyber Security -

Erik Hemberg Massachusetts Institute of Technology

Una-May O’Reilly Massachusetts Institute of Technology

Research Group

Cyber Security () (TU Delft)

Metrics Moving Target Defense Objective Space Network Neighborhood Partitioning

To reference this document use:

http://resolver.tudelft.nl/uuid:c748d176-2a7e-40a0-821f-a295d90aa67e

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Published Date

2017

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Cyber Security

Abstract

We propose new metrics drawing inspiration from the optimization domain that can be used to characterize the effectiveness of moving target defenses better. Besides that, we propose a Network Neighborhood Partitioning algorithm that can help to measure the influence of MTDs more precisely. The techniques proposed here are generic and could be combined with existing metrics. The obtained results demonstrate how additional information about the effectiveness of defenses can be obtained as well as how network neighborhood partitioning helps to improve the granularity of metrics.

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