English

Implementing Man-in-the-Middle Attack to Investigate Network Vulnerabilities in Smart Grid Test-bed

Cryptography and Security 2023-06-02 v1

Abstract

The smart-grid introduces several new data-gathering, communication, and information-sharing capabilities into the electrical system, as well as additional privacy threats, vulnerabilities, and cyber-attacks. In this study, Modbus is regarded as one of the most prevalent interfaces for control systems in power plants. Modern control interfaces are vulnerable to cyber-attacks, posing a risk to the entire energy infrastructure. In order to strengthen resistance to cyber-attacks, this study introduces a test bed for cyber-physical systems that operate in real-time. To investigate the network vulnerabilities of smart power grids, Modbus protocol has been examined combining a real-time power system simulator with a communication system simulator and the effects of the system presented and analyzed. The goal is to detect the vulnerability in Modbus protocol and perform the Man-in-the-middle attack with its impact on the system. This proposed testbed can be evaluated as a research model for vulnerability assessment as well as a tool for evaluating cyber-attacks and enquire into any detection mechanism for safeguarding and defending smart grid systems from a variety of cyberattacks. We present here the preliminary findings on using the testbed to identify a particular MiTM attack and the effects on system performance. Finally, we suggest a cyber security strategy as a solution to address such network vulnerabilities and deploy appropriate countermeasures.

Keywords

Cite

@article{arxiv.2306.00234,
  title  = {Implementing Man-in-the-Middle Attack to Investigate Network Vulnerabilities in Smart Grid Test-bed},
  author = {Shampa Banik and Trapa Banik and S. M. Mostaq Hossain and Sohag Kumar Saha},
  journal= {arXiv preprint arXiv:2306.00234},
  year   = {2023}
}

Comments

7 pages, 10 figures, Conference paper, Accepted in publication for 2023 IEEE World AI IoT Congress (AIIoT)

R2 v1 2026-06-28T10:52:42.197Z