Detailed Information on Publication Record
2020
An Enhanced Blockchain-Based Data Management Scheme for Microgrids
MBAREK, Bacem, Stanislav CHREN, Bruno ROSSI and Tomáš PITNERBasic information
Original name
An Enhanced Blockchain-Based Data Management Scheme for Microgrids
Authors
MBAREK, Bacem (788 Tunisia, belonging to the institution), Stanislav CHREN (703 Slovakia, belonging to the institution), Bruno ROSSI (380 Italy, belonging to the institution) and Tomáš PITNER (203 Czech Republic, belonging to the institution)
Edition
Caserta, Italy, Web, Artificial Intelligence and Network Applications (WAINA 2020), p. 766-775, 10 pp. 2020
Publisher
Springer International Publishing
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
RIV identification code
RIV/00216224:14330/20:00115247
Organization unit
Faculty of Informatics
ISBN
978-3-030-44037-4
ISSN
Keywords in English
Microgrid; Blockchain; FDI attacks
Tags
International impact, Reviewed
Změněno: 10/5/2021 05:36, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Trading of distributed energy resources is an important aspect to fully achieve energy efficiency. Modern microgrids and consumer/prosumer energy transactions are such kind of enablers. The blockchain has been proposed as a solution to aid microgrid applications with the support of a decentralized trading model, operations processing, computation and storage. However, microgrids trading is still vulnerable to so-called False Data Injection (FDI) attacks, that is the attempt by malicious participating nodes to distribute false measurements to the peers to gain personal advantages. In this paper, we propose an enhanced blockchain mechanism to counteract possible FDI attacks by means of mobile software agents to control and detect malicious activities of sellers nodes.
Links
CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU (CEP code: EF16_019/0000822) |
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EF16_019/0000822, research and development project |
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MUNI/A/1411/2019, interní kód MU |
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