A novel hybrid cybersecurity scheme against false data injection attacks in automated power systems

Shahbaz Hussain; S. M. Suhail Hussain; Marziyeh Hemmati; Atif Iqbal; Rashid Alammari; Stefano Zanero; Enrico Ragaini; Giambattista Gruosso

doi:10.1186/s41601-023-00312-y

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A novel hybrid cybersecurity scheme against false data injection attacks in automated power systems

Original Research | 更新时间：2026-09-30

- A novel hybrid cybersecurity scheme against false data injection attacks in automated power systems
- Protection and Control of Modern Power Systems Vol. 8, Issue 3, Pages: 1-15(2023)
- 作者机构：
  
  1. Department of Electrical Engineering, Qatar University, Doha,Qatar
  2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan,Italy
  3. Department of Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia
  4. Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia
- 作者简介：
- 基金信息：
- DOI：10.1186/s41601-023-00312-y
  CLC：
- Published：01 July 2023
- 稿件说明：
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Shahbaz Hussain, S. M. Suhail Hussain, Marziyeh Hemmati, et al. A novel hybrid cybersecurity scheme against false data injection attacks in automated power systems[J]. Protection and Control of Modern Power Systems, 2023, 8(3): 1-15.
DOI：

Shahbaz Hussain, S. M. Suhail Hussain, Marziyeh Hemmati, et al. A novel hybrid cybersecurity scheme against false data injection attacks in automated power systems[J]. Protection and Control of Modern Power Systems, 2023, 8(3): 1-15. DOI： 10.1186/s41601-023-00312-y.

摘要

The conventional power systems are evolving as smart grids. In recent times cyberattacks on smart grids have been increasing. Among different attacks

False Data Injection (FDI) is considered as an emerging threat that has significant impact. By exploiting the vulnerabilities of IEC 61850 Generic Object-Oriented Substation Events (GOOSE) and Sampled Values (SV) attackers can launch different FDI attacks. In this paper

a real-time set up capable of simulating FDI on GOOSE and SV protocols is developed to evaluate the impact of such attacks on power grid. IEC 62351 stipulates cybersecurity guidelines for GOOSE and SV

but only at communication or Information Technology (IT) level. Hence there is a need to develop a holistic security both at IT and Operation Technology (OT) level. In this regard

a novel sequence content resolver-based hybrid security scheme suitable to tackle FDI attacks on GOOSE and SV is proposed. Furthermore

the computational performance of the proposed hybrid security scheme is presented to demonstrate its applicability to the time critical GOOSE and SV protocols.

Abstract

The conventional power systems are evolving as smart grids. In recent times cyberattacks on smart grids have been increasing. Among diferent attacks

False Data Injection (FDI) is considered as an emerging threat that has signifcant impact. By exploiting the vulnerabilities of IEC 61850 Generic Object-Oriented Substation Events (GOOSE) and Sampled Values (SV) attackers can launch diferent FDI attacks. In this paper

but only at communication or Information Technology (IT) level. Hence there is a need to develop a holistic security both at IT and Operation Technology (OT) level. In this regard

a novel sequence content resolver-based hybrid security scheme suitable to tackle FDI attacks on GOOSE and SV is proposed. Furthermore

the computational performance of the proposed hybrid security scheme is presented to demonstrate its applicability to the time critical GOOSE and SV protocols.

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