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T1.2 Measurable Security

Task Title Measurable: security, privacy and dependability, metrics
Lead partner UNIK
Contributors NR, Ifi, Movation
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This task will establish the Multi-Metrics Model for the Smart Grid use case. The task includes

  • the adaptation to the real world infrastructure
  • the analysis of the most relevant sub-systems
  • application specific goals for security, privacy and dependability

Deliverables in T1.2 Measurable Security

 TitleDue monthLead partnerEditorDissemination level
D1.2.1Methods for measurable security (draft)M12ITSJosef NollPublic
D1.2.2Methods for measurable security (final) M24ITSJosef NollPublic

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Detailed work

  • Ifi: involvement and interaction with U. of Victoria; especially on dependability and metrics.
  • UNIK/Movation: Multi-Metrics development

About the Multi-Metrics Approach

The Multi-Metrics Approach has the goal to to measure the Security, Privacy and Dependability (SPD) level of a system. The objective is to achieve an overall system SPD level, SPDSystem. The main advantage of this methodology is that it provides a simple mechanism to measure and evaluate the system security, privacy and dependability levels.

SPDSystem is a triplet, composed of individual Security, Privacy and Dependability levels (s,p,d). Each of the levels is represented by a range between 0 and 100, i.e. the higher the number, the higher the Security, Privacy and Dependability level. However, in order to end up with SPDSystem, during the whole process, the criticality is evaluated. Criticality is again a triplet (Cs,Cp,Cd), defined as the complement of SPD, and expressed as (Cs, Cp, Cd) = (100, 100, 100) − (s, p, d).

MultiMetrics System.gif

The Figure shows a system being composed of multiple sub-systems, which at the same time consist of various components.

Ongoing Discusssions

from Toktam: My suggestion is that since systems are complicated and nested, we may need to collect metrics and parameters in existing approaches for:

  • Application security, by using and not limited to OWASP as a reference (regardless of the name, this reference is one of the best),
  • Network security by using, but not limited to, CWE as a reference,
  • System security based on risk assessment in which measurement of risk itself is useful, and also (1- risk) might give a promising view of the level of security preservation,
  • and so on to collect and then make a contribution.

In addition, if instead of the security of the whole system, just data flow and information flow is the aim of the labeling, then such references could be investigated toward these (unfortunately it is time consuming).


Identified challenges are related to

  • industrial harmonisation of methodology
  • semantic description of security, privacy and dependability
  • identification of s,p,d values for use cases, e.g. monitoring, alarm, control

Expected outcome

Year 1:

  • System analysis for main sub-systems on current infrastructure (M12)
  • identification of 3-5 use cases, to be further elaborated in T3.1 (M12)
  • Feedback from industry on applicability of system analysis (M12)

Year 2:

  • Extension of the Smart Grid system to include at least 2 new functionalities (M24)
  • Identification of challenges for industrial applicability (M24)


  • to be defined in year 2


  1. J. Noll, I. Garitano, S. Fayyad, E. Åsberg, H. Abie, «Measurable Security, Privacy and Dependability in Smart Grids», Journal of Cyber Security, 3_4, (2015) ->
  2. I. Garitano, S. Fayyad, J. Noll, «Multi-Metrics Approach for Security, Privacy and Dependability in Embedded Systems», Wireless Pers. Commun. 81, pp1359-1376 (2015)