Affiliations 

  • 1 School of Computing Technology and Innovations, University of Vaasa, Vaasa 65200, Finland
  • 2 School of Computing, Skyline University College, University City Sharjah, Sharjah 1797, the United Arab Emirates
  • 3 Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen 40002, Thailand
  • 4 School of Electronics and Computer Science, University of Southampton Malaysia, Johor Bahru 79100, Malaysia
Data Brief, 2024 Apr;53:110212.
PMID: 38439994 DOI: 10.1016/j.dib.2024.110212

Abstract

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.