Business Impact Analysis of AMM Data: A Case Study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020778" target="_blank" >RIV/62690094:18450/23:50020778 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2571-5577/6/5/82" target="_blank" >https://www.mdpi.com/2571-5577/6/5/82</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/asi6050082" target="_blank" >10.3390/asi6050082</a>
Alternative languages
Result language
angličtina
Original language name
Business Impact Analysis of AMM Data: A Case Study
Original language description
The issue of Automated Meter Management (AMM), an integral part of modern energy smartgrid systems, has become a hot topic in recent years. With the current energy crisis, and giventhe new approaches to smart energy and its regulation, implemented at the level of the EuropeanUnion, the gradual introduction of AMM as a standard for the regulation and management of thedistribution system is an absolute necessity. Modern smart grids incorporate elements of smartregulation that rely heavily on the availability and quality of the data generated or used during AMMas part of the smart grid. In this paper, based on an analytical view of AMM as a whole and guidedinterviews with the sponsors of each service and owners of each dataset, criteria are proposed and aBusiness Impact Analysis (BIA) is implemented, the results of which are used to determine securitymeasures for the safe and reliable running of the AMM system. This paper offers a unique view ofthe AMM system as an integral part of modern smart grid networks from a data-driven perspectivethat enables the subsequent implementation and fulfillment of security requirements by ISO/IEC27001 and national security standards, as the AMM system is also a critical information system underthe EU directive regarding the cybersecurity of network and information systems, which are subjectto newly defined security requirements in the field of cybersecurity.
Czech name
—
Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VJ02010016" target="_blank" >VJ02010016: Application of Artificial Intelligence for Ensuring Cyber Security for Smart City</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied System Innovation
ISSN
2571-5577
e-ISSN
2571-5577
Volume of the periodical
6
Issue of the periodical within the volume
5
Country of publishing house
CH - SWITZERLAND
Number of pages
30
Pages from-to
"Article number: 82"
UT code for WoS article
001099595500001
EID of the result in the Scopus database
2-s2.0-85175533011