Difference between revisions of "IoTSec:T2.2"

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|Workpackage=IoTSec:WP2
 
|Workpackage=IoTSec:WP2
 
|Lead partner=NR
 
|Lead partner=NR
|Partner=HiG, NR,
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|Partner=HiG, NR, Ifi, ESmartSystems
 
|Objective=This task will review, extend and establish models for  
 
|Objective=This task will review, extend and establish models for  
 
* adaptive security
 
* adaptive security

Revision as of 14:28, 17 August 2015

Security in IoT for Smart Grids
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T2.2 Adaptive Security

Task Title Adopting and enhancing adaptive security for system of systems
WP IoTSec:WP2
Lead partner NR
Leader
Contributors HiG, NR, Ifi, ESmartSystems
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Objective

This task will review, extend and establish models for

  • adaptive security
  • real-time security monitoring of the entire grid operations
Category:Task


Deliverables in T2.2 Adaptive Security

 TitleDue monthLead partnerEditorDissemination level
D2.2.1Anticipatory adaptive security models (draft)M12NRHabtamu AbieRestricted
D2.2.2Anticipatory adaptive security M24NRHabtamu AbiePublic
D2.2.3Adpative user interface reportM30NRHabtamu AbiePublic
D2.2.4Optimised adaptive security modelsM48NRHabtamu AbiePublic

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T2.2.1 Implementation of adaptive security

Event driven adaptive security addresses events such as RFID-based physical access control or sensor-based voltage monitoring. An event-driven security security architecture is seen as a perfect candidate for real-time security monitoring of the entire grid operations. The basis of the work was addressed in the MASSIF Project (http://www.massif-project.eu/), and will be adapted and extended for utilising and modelling "events".

Adaptive security addresses the protection of "IoT-based smart grids" against evolutionary threats and attacks through the prediction and advanced behavioural analysis of big-real-data from IoT Smart Grids [32]. Our approach on adaptive security is based on [33], and security metrics methodology based on [34]. The adaptive security methodology addresses threats by increasing awareness and automating prevention, detection, and recovery from the failures of security and privacy protections at runtime by re-configuring control parameters and even changing structures and security goals. The objective is, therefore, to develop adaptive security mechanisms using the combination of evolutionary game theory and distributed behavioural analysis for Smart Grids. The expected outcome of this work are modules for use in the operational security.

Result:

  • A working prototype implementing adaptive security for IoT in Smart Grids.

Partners: NR, HIG Waqas Aman(IoTSec PostDoc)

Deliverable:

  • 1 technical report,
  • 2 conference papers