EconPapers    
Economics at your fingertips  
 

Aligning IT Architecture Analysis and Security Standards for Smart Grids

Mathias Uslar (), Christine Rosinger (), Stefanie Schlegel and Rafael Santodomingo-Berry
Additional contact information
Mathias Uslar: OFFIS – Institute for Information Technology
Christine Rosinger: OFFIS – Institute for Information Technology
Stefanie Schlegel: OFFIS – Institute for Information Technology
Rafael Santodomingo-Berry: OFFIS – Institute for Information Technology

Chapter Chapter 7 in Advances and New Trends in Environmental and Energy Informatics, 2016, pp 115-134 from Springer

Abstract: Abstract In this paper, an approach using the European Smart Grid Architecture Model (SGAM) in the context of the NISTIR 7628 is presented. Research has shown that both models and methodologies have particular impact, but have not yet been put into mutual context. The combination of these models makes it possible for US Smart Grid experts to reuse the SGAM model and its benefits, and vice versa, European stakeholders are encouraged to use the security analysis framework from NIST. Within this paper, we briefly introduce the methodologies including their strengths and fallbacks. We outline the necessity to make them interoperable and aligning them. Finally, the logical interface framework from NISTIR 7628 is mapped onto the SGAM and its planes, domains and zones, bridging the existing gap. In addition to those results, we outline the need for a future integration with a maturity model for security assessment and point out a roadmap and preliminary results.

Keywords: SGAM; NISTIR 7628; Critical infrastructure analysis; Risk assessment; Security (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-23455-7_7

Ordering information: This item can be ordered from
http://www.springer.com/9783319234557

DOI: 10.1007/978-3-319-23455-7_7

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:prochp:978-3-319-23455-7_7