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MBAREK, Bacem, Stanislav CHREN, Bruno ROSSI and Tomáš PITNER. An Enhanced Blockchain-Based Data Management Scheme for Microgrids. Online. In Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. Web, Artificial Intelligence and Network Applications (WAINA 2020). Caserta, Italy: Springer International Publishing, 2020, p. 766-775. ISBN 978-3-030-44037-4. Available from: https://dx.doi.org/10.1007/978-3-030-44038-1_70.
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Basic 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
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
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 2194-5357
Doi http://dx.doi.org/10.1007/978-3-030-44038-1_70
Keywords in English Microgrid; Blockchain; FDI attacks
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 10/5/2021 05:36.
Abstract
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)
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)
Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research
EF16_019/0000822, research and development projectName: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur
MUNI/A/1411/2019, interní kód MUName: Aplikovaný výzkum: softwarové architektury kritických infrastruktur, bezpečnost počítačových systémů, zpracování přirozeného jazyka a jazykové inženýrství, vizualizaci velkých dat a rozšířená realita.
Investor: Masaryk University, Category A
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