Computer ScienceEngineeringEnvironmental Science

Mohammad Esmalifalak, Lanchao Liu, N. Nguyen, Rong Zheng, Zhu Han

2017.9.1IEEE Systems Journal

DOI: 10.1109/jsyst.2014.2341597

tlooto Summary

It is shown how normal operations of power networks can be statistically distinguished from the case under stealthy attacks, and two machine-learning-based techniques for stealthy attack detection are proposed.

Abstract

Abstract is not available.

Citation format

ESMALIFALAK, Mohammad, et al. Detecting stealthy false data injection using machine learning in smart grid. IEEE Systems Journal, 2017, 11: 1644–1652.