Difference between revisions of "IoTSec:T3.1"
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| − | * Identify the privacy-preservation issue in the framework of demand response management | + | * 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 | * 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 | ||
Revision as of 18:49, 23 August 2015
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T3.1 Multi-Metrics
| Task Title | Multi-metrics applied for application-driven infrastructures |
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| WP | IoTSec:WP3 |
| Lead partner | UNIK |
| Leader | |
| Contributors | Simula, UNIK, NR, NCE Smart |
| edit this task |
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
| Title | Due month | Lead partner | Editor | Dissemination level | |
|---|---|---|---|---|---|
| D3.1.1 | Multi-metrics analysis of applications on the smart-grid infrastructure (draft) | M12 | ITS | Josef Noll | Public |
| D3.1.2 | Application analysis on the smart-grid infrastructure (draft) | M24 | Movation | Seraj Fayyad | Public |
Contributions
This task will develop privacy-preserving demand response management (DRM) solution in the smart grid. Privacy will be the major 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