Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Detecting Stealthy False Data Injection Using...
Conference

Detecting Stealthy False Data Injection Using Machine Learning in Smart Grid

Abstract

Aging power industries together with increase in the demand from industrial and residential customers are the main incentive for policy makers to define a road map to the next generation power system called smart grid. In smart grid, the overall monitoring costs will be decreased but at the same time, the risk of cyber attacks might be increased. Recently a new type of attacks (called the stealth attack) has been introduced, which cannot be …

Authors

Esmalifalak M; Nauven NT; Zheng R; Han Z

Pagination

pp. 808-813

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

December 1, 2013

DOI

10.1109/glocom.2013.6831172

Name of conference

2013 IEEE Global Communications Conference (GLOBECOM)