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with emerging threats. Layers within the enterprise
are considered, with emphasis on information sharing
across domains (Bassam and Deborah, 2010). The
inclusion of change, and the layered view of enter-
prises, makes ESM similar to DSF. However, DSF is
not enterprise-specific, allowing it to be used flexibly
in many different scenarios.
These frameworks approach security implemen-
tation predominantly from a business perspective.
However, they do not formalise a process for turn-
ing pure research (T1) into applicable methods (T2).
As such, they do not focus on getting the best out
of available knowledge. They also do not integrate
time and internal/external contexts, and so cannot im-
prove interventions against changing trends and pop-
ulations. We believe that taking inspiration from the
well-established field of health care provides a unique
angle to exploit in generating new ideas for the main-
tenance of network health.
6 CONCLUSIONS
In health care, TR delivers research knowledge to
patients. We have proposed that a similar approach
be applied for botnet mitigation - bringing technical
knowledge and innovative solutions more effectively
to users and networks. To demonstrate this approach,
we utilised the Dynamic Sustainability Framework,
applying it to epidemic modelling scenarios for bot
propagation. We suggested measurement techniques,
highlighted key constructs, and discussed the evalua-
tive process. IS deals with the impact and implemen-
tation of an intervention, allowing us to consider how
we develop multi-faceted approaches, how/where we
deliver them, what meaningful impact they have, and
why they may be lacking. This is vital for improving
and sustaining the health of networks. We hope that
this work contributes towards a discussion about how
we deliver new solutions and how TR may play a role
in this.
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