Abstract
The cyber-attacks in smart grid can be so vulnerable and has the potential to damage the complete power network as well as the utilities of the consumers that are connected to that power network. Blind false data is injected into the communication network with the help of measurement matrix. However, some of the entries of the measurement matrix might get lost during the collection of measurement vectors. In this paper, we propose an algorithm to complete the measurement matrix with missing data. The simulations are done and results are shown quantitative in comparison with the complete data. To establish the effectiveness of our technique, we calculate the accuracy by using Bad Data Detection.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Gungor, V.C., Lambert, F.C.: A survey on communication networks for electric system automation. In: International Journal of Computer and Telecommunications Network, vol. 50, pp. 877–897 (2006)
Esmalifalak, M., Liu, L., Nguyen, N., Zheng, R., Han, Z.: Detecting stealthy false data injection using machine learning in smart grid. In: IEEE Systems Journal (2014)
Kim, J., Tong, L., Thomas, R.: Subspace methods for data attack on state estimation a data driven approach. In: IEEE Transactions on Signal Processing, pp. 1102–1114 (2015)
Rahman, M., Mohsenian-Rad, H.: False data injection attacks with incomplete information against smart power grids. In: IEEE Global Communications Conference (2012)
Srivastava, A., Morris, T., Ernster, T., Vellaithurai, C., Pan, S., Adhikari, U.: Modeling cyber-physical vulnerability of the smart grid with incomplete information. In: IEEE Transactions on Smart Grid, vol. 4, no. 1, pp. 235–244 (2013)
Liu, X., Li, Z.: Local load redistribution attacks in power systems with incomplete network information. In: IEEE Transactions on Smart Grid, vol. 5, pp. 1665–1676 (2014)
Tan, S., Song, W.Z., Stewart, M., Yang, J., Tong, L.: Online data integrity attacks against real-time electrical market in smart grid. In: IEEE Transactions on Smart Grid (2018)
Yu, Z.H., Chin, W.L.: Blind false data injection attack using PCA approximation method in smart grid. In: IEEE Transactions on Smart Grid (2015)
Anwar, A., Mahmood, A., Pickering, M.: Data-driven stealthy injection attacks on smart grid with incomplete measurements. In: Pacific-Asia Workshop on Intelligence and Security Informatics (2016)
Liu, L., Esmalifalak, M., Ding, Q., Emesih, V.A., Han, Z.: Detecting false data injection attacks on power grid by sparse optimization. In: IEEE Transactions on Smart Grid (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Nawaz, R., Shahid, M.A., Mahmood, M.H. (2019). False Data Injection in Smart Grid in the Presence of Missing Data. In: Benavente-Peces, C., Slama, S., Zafar, B. (eds) Proceedings of the 1st International Conference on Smart Innovation, Ergonomics and Applied Human Factors (SEAHF). SEAHF 2019. Smart Innovation, Systems and Technologies, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-030-22964-1_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-22964-1_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-22963-4
Online ISBN: 978-3-030-22964-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)