Cyberattack patterns in blockchain-based communication networks for distributed renewable energy systems : A study on big datasets
Faheem, Muhammad; Al-Khasawneh, Mahmoud Ahmad; Khan, Arfat Ahmad; Madni, Syed Hamid Hussain (2024-02-29)
Faheem, Muhammad
Al-Khasawneh, Mahmoud Ahmad
Khan, Arfat Ahmad
Madni, Syed Hamid Hussain
Elsevier
29.02.2024
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2024042421655
https://urn.fi/URN:NBN:fi-fe2024042421655
Kuvaus
vertaisarvioitu
© 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
© 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Tiivistelmä
Blockchain-based reliable, resilient, and secure communication for Distributed Energy Resources (DERs) is essential in Smart Grid (SG). The Solana blockchain, due to its high stability, scalability, and throughput, along with low latency, is envisioned to enhance the reliability, resilience, and security of DERs in SGs. This paper presents big datasets focusing on SQL Injection, Spoofing, and Man-in-the-Middle (MitM) cyberattacks, which have been collected from Solana blockchain-based Industrial Wireless Sensor Networks (IWSNs) for events monitoring and control in DERs. The datasets provided include both raw (unprocessed) and refined (processed) data, which highlight distinct trends in cyberattacks in DERs. These distinctive patterns demonstrate problems like superfluous mass data generation, transmitting invalid packets, sending deceptive data packets, heavily using network bandwidth, rerouting, causing memory overflow, overheads, and creating high latency. These issues result in ineffective real-time events monitoring and control of DERs in SGs. The thorough nature of these datasets is expected to play a crucial role in identifying and mitigating a wide range of cyberattacks across different smart grid applications.
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