IoTSec:T3.1

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T3.1 Multi-Metrics

Task Title Multi-metrics applied for application-driven infrastructures
WP IoTSec:WP3
Lead partner UNIK
Leader
Contributors Simula, UNIK, NR, NCE Smart, Movation
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Objective

This task will create the Multi-metrics models for Smart Grids. The Multi-Metrics analysis will be applied for application-driven infrastructures, e.g. reporting, monitoring, and control through the smart grid.

Category:Task


Deliverables in T3.1 Multi-Metrics

 TitleDue monthLead partnerEditorDissemination level
D3.1.1Multi-metrics analysis of applications on the smart-grid infrastructure (draft)M12ITSJosef NollPublic
D3.1.2Application analysis on the smart-grid infrastructure (draft)M24MovationSeraj FayyadPublic

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Contributions

This task will develop privacy-preserving demand response management (DRM) solution in the smart grid that will prevent users' privacy without degrading demand response performance and system stability. Privacy and demand response performance will be the primary metrics within the developed multi-metrics analytics framework. We are mainly motivated by the following obserservations.

  • One precondition in DRM is the users’ power usage awareness and price information awareness
  • Power usage can be abused to capture, model and divulge customers’ behavior and activities.
  • Operational data like real-time price information be attacked to destabilize the pricing system. Small malicious modifications to the price signals can cause highly volatile price, fluctuating power demand, and probably power grid blackout consequence.

Approaches

  • Define and develop privacy, performance, and efficiency within the multi-metrics analytics framework
  • Identify the privacy-preservation issue in the framework of demand response management. Develop privacy preservation solutions by anonymizing metering data from smart meters and end-users
  • Formulate and address the privacy-preserving DRM problem
  • Propose an efficient scheme to defend integrity attack on price and study the effect on the system stability
  • Develop new algorithms that are able to adaptively adjust the requirement of privacy and achievable demand response performance

Expected results

This task has the following expected results

  • a minimum of 3 services being defined, e.g. billing, reporting, alarm (M12)
  • formulation of privacy-preserving modelling and negotiation (M12)
  • a minimum of 5 services being analyses as a comparison between goals and system capabilities (M24)
  • privacy-preserving modell with test case (M24)