Difference between revisions of "IoTSec:T2.3"

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|Workpackage=IoTSec:WP2
 
|Workpackage=IoTSec:WP2
 
|Lead partner=Ifi
 
|Lead partner=Ifi
|Partner=UNIK, Ifi,
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|Partner=UNIK, NR
 
|Objective=This task will establish formal technologies for semantic provability
 
|Objective=This task will establish formal technologies for semantic provability
 
}}
 
}}
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= Detailed objectives =
 +
The main objective is to give guarantees for relevant security properties.
 +
By utilizing automatic decision  algorithms from  logic and formal methods
 +
we will build  tool support for automated proofs.
 +
This will increase the robustness of the smart grid system.
 +
This includes:
 +
* formulating dependability and security requirements
 +
* usage of  suitable metrics of system quality and behaviour
 +
* investigation of static and dynamic techniques.
 +
The work on security metrics and security properties will involve our partner
 +
prof. Issa Traore, University of Victoria, Canada.
 +
 +
= Detailed work =
 +
Initial work consists of
 +
investigation of
 +
the integration of  the semantic model  and provability mechanisms.
 +
The next phase of  the work is
 +
development of automated  tools,
 +
while ensuring  their usability in smart grid systems.  This includes:
 +
* investigation of permitted and malicious actions
 +
* techniques for ensuring robustness and security properties
 +
* investigation of  time-related and  probabilistic  methods.
 +
 +
= Expected results =
 +
This task has the following expected results:
 +
* [[has result::a minimum of 3 papers, including one journal paper (M12-36)]]
 +
* [[has result::a non-trivial case study (M12)]]
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* [[has result::a tool for semantic provability (M48)]]
 +
 +
<!-- = earlier input =
 
= Contributions =
 
= Contributions =
 
Olaf: I may contribute to the last part, focusing on automated deductive reasoning, and follow the other two points - ''leadership?''
 
Olaf: I may contribute to the last part, focusing on automated deductive reasoning, and follow the other two points - ''leadership?''
 +
 +
....and ensure that decisions made are not violating certain poperties.
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 +
Undecided: How much is static and how much is dynamic (at run-time)?
  
 
Josef: Reasoning over models
 
Josef: Reasoning over models
 +
 +
-->
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 +
== References ==
 +
<references>

Latest revision as of 14:53, 27 August 2015

Security in IoT for Smart Grids
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T2.3 Semantic Provability

Task Title Formal technologies for semantic provability
WP IoTSec:WP2
Lead partner Ifi
Leader
Contributors UNIK, NR
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Objective

This task will establish formal technologies for semantic provability

Category:Task


Deliverables in T2.3 Semantic Provability

 TitleDue monthLead partnerEditorDissemination level
D2.3.1Semantic Provability Framework (draft)M24IfiOlaf OwePublic
D2.3.2Semantic Provability Framework (final)M36IfiOlaf OwePublic
D2.3.3Semantic Provability applied to Smart GridsM48IfiOlaf OwePublic

Add Deliverable


Detailed objectives

The main objective is to give guarantees for relevant security properties. By utilizing automatic decision algorithms from logic and formal methods we will build tool support for automated proofs. This will increase the robustness of the smart grid system. This includes:

  • formulating dependability and security requirements
  • usage of suitable metrics of system quality and behaviour
  • investigation of static and dynamic techniques.

The work on security metrics and security properties will involve our partner prof. Issa Traore, University of Victoria, Canada.

Detailed work

Initial work consists of investigation of the integration of the semantic model and provability mechanisms. The next phase of the work is development of automated tools, while ensuring their usability in smart grid systems. This includes:

  • investigation of permitted and malicious actions
  • techniques for ensuring robustness and security properties
  • investigation of time-related and probabilistic methods.

Expected results

This task has the following expected results:

  • a minimum of 3 papers, including one journal paper (M12-36)
  • a non-trivial case study (M12)
  • a tool for semantic provability (M48)


References