False data injection attacks with incomplete information against smart power grids
By Md. Ashfaqur Rahman, Hamed Mohsenian Rad. Global Communications Conference, 2012
306 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/dd253f49583eca3b89ccfaf378a83d45368ec44d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Junhua Zhao
- Zhao Yang Dong
- Gaoqi Liang
- Andreas Pitsillides
- Nikos Komninos
- Steven S. R. Weller
- Fengji Luo
- Eleni Philippou
In Computer Networks and Communications
In Control and Systems Engineering
- Junhua Zhao
- Zhao Yang Dong
- Gaoqi Liang
- Andreas Pitsillides
- Nikos Komninos
- Steven S. R. Weller
- Fengji Luo
- Eleni Philippou
Citations in the corpus
- Survey in Smart Grid and Smart Home Security: Issues, Challenges and Countermeasures (2014, background): “Despite the fact that many attacks could affect the entities mentioned above, almost none of them can have comparable impact to a false data injection attack [37], [38].”
- A Review of False Data Injection Attacks Against Modern Power Systems (2017, background): “Rahman and Mohsenian-Rad [23] have shown that if the attacker implements FDIAs targeted at the DC state estimator but the system operator actually uses the nonlinear state estimator, then the attack will easily be detected.”